Micro-Star International Co., Ltd. MS-7E32
Geekbench AI Score
5136
Single Precision Score
2081
Half Precision Score
5975
Quantized Score
Geekbench AI 1.1.0 for Windows AVX2
Result Information
| Upload Date | November 20 2024 11:15 PM |
| Views | 1 |
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 | Equilibrado |
| 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% |
2913
541.8 IPS |
|
|
Image Classification (HP)
|
100% |
670
124.5 IPS |
|
|
Image Classification (Q)
|
99% |
5055
942.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
2464
39.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
1415
22.9 IPS |
|
|
Image Segmentation (Q)
|
98% |
4718
76.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
13016
15.2 IPS |
|
|
Pose Estimation (HP)
|
100% |
7558
8.82 IPS |
|
|
Pose Estimation (Q)
|
95% |
41112
48.2 IPS |
|
|
Object Detection (SP)
|
100% |
2865
227.3 IPS |
|
|
Object Detection (HP)
|
100% |
878
69.6 IPS |
|
|
Object Detection (Q)
|
88% |
2895
232.1 IPS |
|
|
Face Detection (SP)
|
100% |
5193
61.7 IPS |
|
|
Face Detection (HP)
|
100% |
1811
21.5 IPS |
|
|
Face Detection (Q)
|
97% |
5061
60.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
11456
88.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
3117
24.0 IPS |
|
|
Depth Estimation (Q)
|
77% |
11343
90.8 IPS |
|
|
Style Transfer (SP)
|
100% |
31674
40.7 IPS |
|
|
Style Transfer (HP)
|
100% |
20247
26.0 IPS |
|
|
Style Transfer (Q)
|
98% |
27455
35.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4625
170.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2701
99.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5875
217.6 IPS |
|
|
Text Classification (SP)
|
100% |
2060
2.75 KIPS |
|
|
Text Classification (HP)
|
100% |
841
1.12 KIPS |
|
|
Text Classification (Q)
|
97% |
658
880.9 IPS |
|
|
Machine Translation (SP)
|
100% |
2660
45.8 IPS |
|
|
Machine Translation (HP)
|
100% |
934
16.1 IPS |
|
|
Machine Translation (Q)
|
60% |
3357
74.9 IPS |
