Micro-Star International Co., Ltd. MS-7E32
Geekbench AI Score
8326
Single Precision Score
2858
Half Precision Score
12451
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| User | Pex_Water_Pipes |
| Upload Date | March 23 2025 08:59 PM |
| Views | 12 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel(R) Core(TM) Ultra 9 285K |
| 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 | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
6419
1.19 KIPS |
|
|
Image Classification (HP)
|
100% |
954
177.4 IPS |
|
|
Image Classification (Q)
|
99% |
11058
2.06 KIPS |
|
|
Image Segmentation (SP)
|
100% |
3188
51.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
1763
28.6 IPS |
|
|
Image Segmentation (Q)
|
98% |
5329
86.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
17422
20.3 IPS |
|
|
Pose Estimation (HP)
|
100% |
9124
10.6 IPS |
|
|
Pose Estimation (Q)
|
94% |
61474
72.1 IPS |
|
|
Object Detection (SP)
|
100% |
6286
498.6 IPS |
|
|
Object Detection (HP)
|
100% |
1248
99.0 IPS |
|
|
Object Detection (Q)
|
86% |
14213
1.14 KIPS |
|
|
Face Detection (SP)
|
100% |
18176
216.0 IPS |
|
|
Face Detection (HP)
|
100% |
3167
37.6 IPS |
|
|
Face Detection (Q)
|
97% |
16103
192.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
19758
152.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
3979
30.7 IPS |
|
|
Depth Estimation (Q)
|
78% |
31857
254.2 IPS |
|
|
Style Transfer (SP)
|
100% |
39324
50.6 IPS |
|
|
Style Transfer (HP)
|
100% |
23332
30.0 IPS |
|
|
Style Transfer (Q)
|
98% |
41353
53.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
6223
229.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4079
150.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
7701
285.1 IPS |
|
|
Text Classification (SP)
|
100% |
2258
3.01 KIPS |
|
|
Text Classification (HP)
|
100% |
1147
1.53 KIPS |
|
|
Text Classification (Q)
|
97% |
1998
2.68 KIPS |
|
|
Machine Translation (SP)
|
100% |
3602
62.0 IPS |
|
|
Machine Translation (HP)
|
100% |
1381
23.8 IPS |
|
|
Machine Translation (Q)
|
65% |
5329
107.1 IPS |
