Intel Core Ultra 7 265K BaProf | Micro-Star International Co., Ltd. MS-7E32 Micro-Star International Co., Ltd. MS-7E32
Geekbench AI Score
5829
Single Precision Score
8688
Half Precision Score
12731
Quantized Score
Geekbench AI 1.1.0 for Windows AVX2
Result Information
| User | opensourceeverywhere |
| Upload Date | December 01 2024 01:08 PM |
| Views | 104 |
| Notes | Intel Core Ultra 7 265K - DDR5 7800MHz - Scythe Mugen 6 + Arctic S12038-4K - Micro-Star International Co., Ltd. MS-7E32 - Intel Base Line Profil - Windows Balance (Energiesetting) |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | NPU |
| Device | Intel(R) AI Boost |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | Micro-Star International Co., Ltd. MS-7E32 |
| Motherboard | Micro-Star International Co., Ltd. MAG Z890 TOMAHAWK WIFI (MS-7E32) |
| Power Plan | Ausbalanciert |
| CPU Information | |
|---|---|
| Name | Intel(R) Core(TM) Ultra 7 265K |
| Topology | 1 Processor, 20 Cores |
| Identifier | GenuineIntel Family 6 Model 198 Stepping 2 |
| Base Frequency | 3.90 GHz |
| Cluster 1 | 8 Cores |
| Cluster 2 | 12 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
4324
804.1 IPS |
|
|
Image Classification (HP)
|
100% |
5869
1.09 KIPS |
|
|
Image Classification (Q)
|
56% |
5894
1.65 KIPS |
|
|
Image Segmentation (SP)
|
100% |
3868
62.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
2409
39.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
3103
50.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
8586
10.0 IPS |
|
|
Pose Estimation (HP)
|
100% |
32772
38.2 IPS |
|
|
Pose Estimation (Q)
|
96% |
68332
80.0 IPS |
|
|
Object Detection (SP)
|
100% |
3932
311.9 IPS |
|
|
Object Detection (HP)
|
100% |
5298
420.3 IPS |
|
|
Object Detection (Q)
|
87% |
8852
710.5 IPS |
|
|
Face Detection (SP)
|
100% |
12835
152.5 IPS |
|
|
Face Detection (HP)
|
100% |
14043
166.9 IPS |
|
|
Face Detection (Q)
|
100% |
24466
290.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
10780
83.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
17247
132.9 IPS |
|
|
Depth Estimation (Q)
|
88% |
33031
257.0 IPS |
|
|
Style Transfer (SP)
|
100% |
25463
32.7 IPS |
|
|
Style Transfer (HP)
|
100% |
51273
65.9 IPS |
|
|
Style Transfer (Q)
|
98% |
92201
118.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5319
196.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
12786
472.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
21085
780.8 IPS |
|
|
Text Classification (SP)
|
100% |
1527
2.04 KIPS |
|
|
Text Classification (HP)
|
100% |
2054
2.74 KIPS |
|
|
Text Classification (Q)
|
92% |
2073
2.78 KIPS |
|
|
Machine Translation (SP)
|
100% |
2805
48.3 IPS |
|
|
Machine Translation (HP)
|
100% |
3061
52.7 IPS |
|
|
Machine Translation (Q)
|
100% |
3106
53.5 IPS |
