Intel Core Ultra 7 265K BaProf | Micro-Star International Co., Ltd. MS-7E32 Micro-Star International Co., Ltd. MS-7E32
Geekbench AI Score
3263
Single Precision Score
4352
Half Precision Score
2387
Quantized Score
Geekbench AI 1.1.0 for Windows AVX2
Result Information
| User | opensourceeverywhere |
| Upload Date | December 01 2024 12:56 PM |
| Views | 18 |
| 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 | DirectML |
| Device | Intel(R) Graphics |
| 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% |
2162
402.1 IPS |
|
|
Image Classification (HP)
|
100% |
2901
539.6 IPS |
|
|
Image Classification (Q)
|
100% |
1588
295.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
1824
29.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
4538
73.6 IPS |
|
|
Image Segmentation (Q)
|
98% |
1427
23.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
9184
10.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
13439
15.7 IPS |
|
|
Pose Estimation (Q)
|
96% |
8142
9.54 IPS |
|
|
Object Detection (SP)
|
100% |
2283
181.1 IPS |
|
|
Object Detection (HP)
|
99% |
2763
219.8 IPS |
|
|
Object Detection (Q)
|
89% |
1556
124.6 IPS |
|
|
Face Detection (SP)
|
100% |
4295
51.0 IPS |
|
|
Face Detection (HP)
|
100% |
4633
55.0 IPS |
|
|
Face Detection (Q)
|
97% |
2769
33.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
7824
60.3 IPS |
|
|
Depth Estimation (HP)
|
98% |
12510
96.7 IPS |
|
|
Depth Estimation (Q)
|
76% |
5804
46.6 IPS |
|
|
Style Transfer (SP)
|
100% |
25100
32.3 IPS |
|
|
Style Transfer (HP)
|
100% |
31442
40.4 IPS |
|
|
Style Transfer (Q)
|
98% |
20036
25.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3636
134.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4930
182.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
2704
100.1 IPS |
|
|
Text Classification (SP)
|
86% |
566
765.3 IPS |
|
|
Text Classification (HP)
|
99% |
609
812.3 IPS |
|
|
Text Classification (Q)
|
83% |
513
697.7 IPS |
|
|
Machine Translation (SP)
|
100% |
955
16.4 IPS |
|
|
Machine Translation (HP)
|
100% |
913
15.7 IPS |
|
|
Machine Translation (Q)
|
60% |
469
10.5 IPS |
