Micro-Star International Co., Ltd. MS-7E32
Geekbench AI Score
3872
Single Precision Score
5119
Half Precision Score
2773
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| Upload Date | April 25 2025 12:17 PM |
| Views | 2 |
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 9 285K |
| Topology | 1 Processor, 24 Cores |
| Identifier | GenuineIntel Family 6 Model 198 Stepping 2 |
| Base Frequency | 3.70 GHz |
| Cluster 1 | 8 Cores |
| Cluster 2 | 16 Cores |
| Memory Information | |
|---|---|
| Size | 64.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2894
538.2 IPS |
|
|
Image Classification (HP)
|
100% |
3630
675.0 IPS |
|
|
Image Classification (Q)
|
99% |
2107
393.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
2017
32.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
5426
88.0 IPS |
|
|
Image Segmentation (Q)
|
98% |
1603
26.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
9292
10.8 IPS |
|
|
Pose Estimation (HP)
|
100% |
14198
16.6 IPS |
|
|
Pose Estimation (Q)
|
96% |
8090
9.48 IPS |
|
|
Object Detection (SP)
|
100% |
2794
221.6 IPS |
|
|
Object Detection (HP)
|
99% |
3486
277.3 IPS |
|
|
Object Detection (Q)
|
85% |
2123
170.8 IPS |
|
|
Face Detection (SP)
|
100% |
5431
64.5 IPS |
|
|
Face Detection (HP)
|
100% |
6111
72.6 IPS |
|
|
Face Detection (Q)
|
97% |
3514
41.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
8631
66.5 IPS |
|
|
Depth Estimation (HP)
|
98% |
14773
114.2 IPS |
|
|
Depth Estimation (Q)
|
77% |
6423
51.4 IPS |
|
|
Style Transfer (SP)
|
100% |
26253
33.7 IPS |
|
|
Style Transfer (HP)
|
100% |
33413
43.0 IPS |
|
|
Style Transfer (Q)
|
98% |
20156
26.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4263
157.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
5864
216.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3084
114.2 IPS |
|
|
Text Classification (SP)
|
86% |
800
1.08 KIPS |
|
|
Text Classification (HP)
|
99% |
628
837.9 IPS |
|
|
Text Classification (Q)
|
84% |
490
664.6 IPS |
|
|
Machine Translation (SP)
|
100% |
1194
20.6 IPS |
|
|
Machine Translation (HP)
|
100% |
1142
19.7 IPS |
|
|
Machine Translation (Q)
|
70% |
676
12.7 IPS |
