Micro-Star International Co., Ltd. MS-7E40
Geekbench AI Score
5533
Single Precision Score
2339
Half Precision Score
6930
Quantized Score
Geekbench AI 1.1.0 for Windows AVX2
Result Information
| Upload Date | January 12 2025 02:03 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 (64-bit) |
| Model | Micro-Star International Co., Ltd. MS-7E40 |
| Motherboard | Micro-Star International Co., Ltd. MAG B860M MORTAR WIFI (MS-7E40) |
| 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% |
2312
430.0 IPS |
|
|
Image Classification (HP)
|
100% |
750
139.4 IPS |
|
|
Image Classification (Q)
|
99% |
5435
1.01 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2675
43.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
1513
24.5 IPS |
|
|
Image Segmentation (Q)
|
98% |
4273
69.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
14607
17.0 IPS |
|
|
Pose Estimation (HP)
|
100% |
8263
9.64 IPS |
|
|
Pose Estimation (Q)
|
95% |
45970
53.9 IPS |
|
|
Object Detection (SP)
|
100% |
3591
284.9 IPS |
|
|
Object Detection (HP)
|
100% |
987
78.3 IPS |
|
|
Object Detection (Q)
|
88% |
3012
241.4 IPS |
|
|
Face Detection (SP)
|
100% |
5472
65.0 IPS |
|
|
Face Detection (HP)
|
100% |
2235
26.6 IPS |
|
|
Face Detection (Q)
|
97% |
5707
68.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
13378
103.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
3351
25.8 IPS |
|
|
Depth Estimation (Q)
|
77% |
12055
96.5 IPS |
|
|
Style Transfer (SP)
|
100% |
33045
42.5 IPS |
|
|
Style Transfer (HP)
|
100% |
20962
26.9 IPS |
|
|
Style Transfer (Q)
|
98% |
25456
32.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5426
200.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
3708
136.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
6534
241.9 IPS |
|
|
Text Classification (SP)
|
100% |
2095
2.80 KIPS |
|
|
Text Classification (HP)
|
100% |
934
1.25 KIPS |
|
|
Text Classification (Q)
|
97% |
1873
2.51 KIPS |
|
|
Machine Translation (SP)
|
100% |
3018
52.0 IPS |
|
|
Machine Translation (HP)
|
100% |
978
16.9 IPS |
|
|
Machine Translation (Q)
|
60% |
3710
82.8 IPS |
