Intel Core Ultra 7 265K BaProf | Micro-Star International Co., Ltd. MS-7E32 Micro-Star International Co., Ltd. MS-7E32
Geekbench AI Score
5919
Single Precision Score
2348
Half Precision Score
6605
Quantized Score
Geekbench AI 1.1.0 for Windows AVX2
Result Information
| User | opensourceeverywhere |
| Upload Date | December 01 2024 12:48 PM |
| Views | 160 |
| 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 | ONNX |
| Backend | CPU |
| Device | Intel(R) Core(TM) Ultra 7 265K |
| 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% |
3180
591.4 IPS |
|
|
Image Classification (HP)
|
100% |
755
140.4 IPS |
|
|
Image Classification (Q)
|
99% |
5339
995.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
2888
46.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
1176
19.1 IPS |
|
|
Image Segmentation (Q)
|
98% |
4229
68.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
14906
17.4 IPS |
|
|
Pose Estimation (HP)
|
100% |
8601
10.0 IPS |
|
|
Pose Estimation (Q)
|
95% |
49333
57.8 IPS |
|
|
Object Detection (SP)
|
100% |
3729
295.8 IPS |
|
|
Object Detection (HP)
|
100% |
1029
81.6 IPS |
|
|
Object Detection (Q)
|
88% |
3168
254.0 IPS |
|
|
Face Detection (SP)
|
100% |
6438
76.5 IPS |
|
|
Face Detection (HP)
|
100% |
2360
28.0 IPS |
|
|
Face Detection (Q)
|
97% |
6194
73.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
13704
105.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
3458
26.6 IPS |
|
|
Depth Estimation (Q)
|
77% |
13432
107.5 IPS |
|
|
Style Transfer (SP)
|
100% |
33578
43.2 IPS |
|
|
Style Transfer (HP)
|
100% |
21785
28.0 IPS |
|
|
Style Transfer (Q)
|
98% |
33808
43.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5355
197.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
3641
134.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
7024
260.1 IPS |
|
|
Text Classification (SP)
|
100% |
2176
2.90 KIPS |
|
|
Text Classification (HP)
|
100% |
935
1.25 KIPS |
|
|
Text Classification (Q)
|
97% |
660
883.8 IPS |
|
|
Machine Translation (SP)
|
100% |
2997
51.6 IPS |
|
|
Machine Translation (HP)
|
100% |
1072
18.5 IPS |
|
|
Machine Translation (Q)
|
60% |
3438
76.7 IPS |
