Micro-Star International Co., Ltd. MS-7E39
Geekbench AI Score
5989
Single Precision Score
2338
Half Precision Score
7672
Quantized Score
Geekbench AI 1.1.0 for Windows AVX2
Result Information
| User | teknoseyir |
| Upload Date | January 09 2025 04:35 PM |
| Views | 2 |
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-7E39 |
| Motherboard | Micro-Star International Co., Ltd. MAG B860 TOMAHAWK WIFI (MS-7E39) |
| Power Plan | Dengeli |
| 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 | 48.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
3299
613.4 IPS |
|
|
Image Classification (HP)
|
100% |
647
120.4 IPS |
|
|
Image Classification (Q)
|
99% |
5459
1.02 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2596
42.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
1556
25.2 IPS |
|
|
Image Segmentation (Q)
|
98% |
4388
71.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
14920
17.4 IPS |
|
|
Pose Estimation (HP)
|
100% |
8528
9.95 IPS |
|
|
Pose Estimation (Q)
|
95% |
50686
59.4 IPS |
|
|
Object Detection (SP)
|
100% |
3895
309.0 IPS |
|
|
Object Detection (HP)
|
100% |
1032
81.8 IPS |
|
|
Object Detection (Q)
|
88% |
3235
259.3 IPS |
|
|
Face Detection (SP)
|
100% |
6754
80.3 IPS |
|
|
Face Detection (HP)
|
100% |
2466
29.3 IPS |
|
|
Face Detection (Q)
|
97% |
6594
78.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
14415
111.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
3544
27.3 IPS |
|
|
Depth Estimation (Q)
|
77% |
13979
111.9 IPS |
|
|
Style Transfer (SP)
|
100% |
33721
43.3 IPS |
|
|
Style Transfer (HP)
|
100% |
21122
27.2 IPS |
|
|
Style Transfer (Q)
|
98% |
37178
47.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5516
203.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
3463
127.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
7058
261.3 IPS |
|
|
Text Classification (SP)
|
100% |
2135
2.85 KIPS |
|
|
Text Classification (HP)
|
100% |
834
1.11 KIPS |
|
|
Text Classification (Q)
|
97% |
1899
2.54 KIPS |
|
|
Machine Translation (SP)
|
100% |
3088
53.2 IPS |
|
|
Machine Translation (HP)
|
100% |
1037
17.9 IPS |
|
|
Machine Translation (Q)
|
60% |
3916
87.4 IPS |
