Micro-Star International Co., Ltd. MS-7E32
Geekbench AI Score
3656
Single Precision Score
4823
Half Precision Score
2653
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| User | Surinder |
| Upload Date | May 08 2025 07:15 PM |
| Views | 4 |
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 | Balanced |
| 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 | 96.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2772
515.5 IPS |
|
|
Image Classification (HP)
|
100% |
3546
659.5 IPS |
|
|
Image Classification (Q)
|
99% |
1899
354.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
1981
32.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
5128
83.1 IPS |
|
|
Image Segmentation (Q)
|
98% |
1557
25.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
9273
10.8 IPS |
|
|
Pose Estimation (HP)
|
100% |
14005
16.3 IPS |
|
|
Pose Estimation (Q)
|
96% |
8141
9.54 IPS |
|
|
Object Detection (SP)
|
100% |
2600
206.3 IPS |
|
|
Object Detection (HP)
|
99% |
3228
256.8 IPS |
|
|
Object Detection (Q)
|
85% |
1927
155.0 IPS |
|
|
Face Detection (SP)
|
100% |
4979
59.2 IPS |
|
|
Face Detection (HP)
|
100% |
5681
67.5 IPS |
|
|
Face Detection (Q)
|
97% |
3549
42.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
8257
63.6 IPS |
|
|
Depth Estimation (HP)
|
98% |
13442
103.9 IPS |
|
|
Depth Estimation (Q)
|
77% |
6137
49.1 IPS |
|
|
Style Transfer (SP)
|
100% |
26164
33.6 IPS |
|
|
Style Transfer (HP)
|
100% |
32135
41.3 IPS |
|
|
Style Transfer (Q)
|
98% |
20419
26.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3978
146.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
5141
189.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
2805
103.9 IPS |
|
|
Text Classification (SP)
|
86% |
698
944.6 IPS |
|
|
Text Classification (HP)
|
99% |
662
883.5 IPS |
|
|
Text Classification (Q)
|
84% |
486
659.8 IPS |
|
|
Machine Translation (SP)
|
100% |
1079
18.6 IPS |
|
|
Machine Translation (HP)
|
100% |
992
17.1 IPS |
|
|
Machine Translation (Q)
|
70% |
615
11.5 IPS |
