Micro-Star International Co., Ltd. MS-7E32
Geekbench AI Score
6448
Single Precision Score
6141
Half Precision Score
14304
Quantized Score
Geekbench AI 1.5.0 for Windows AVX2
Result Information
| Upload Date | October 21 2025 11:14 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| 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 | High performance |
| CPU Information | |
|---|---|
| Name | Intel Core 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% |
3103
577.1 IPS |
|
|
Image Classification (HP)
|
100% |
3151
585.9 IPS |
|
|
Image Classification (Q)
|
100% |
10472
1.95 KIPS |
|
|
Image Segmentation (SP)
|
100% |
5664
91.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
3259
52.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
11643
188.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
12021
14.0 IPS |
|
|
Pose Estimation (HP)
|
100% |
10358
12.1 IPS |
|
|
Pose Estimation (Q)
|
96% |
24026
28.1 IPS |
|
|
Object Detection (SP)
|
100% |
3827
303.6 IPS |
|
|
Object Detection (HP)
|
100% |
3449
273.6 IPS |
|
|
Object Detection (Q)
|
88% |
11371
911.5 IPS |
|
|
Face Detection (SP)
|
100% |
11046
131.2 IPS |
|
|
Face Detection (HP)
|
100% |
11511
136.8 IPS |
|
|
Face Detection (Q)
|
100% |
18274
217.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
10311
79.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
9994
77.0 IPS |
|
|
Depth Estimation (Q)
|
89% |
28607
222.4 IPS |
|
|
Style Transfer (SP)
|
100% |
31410
40.4 IPS |
|
|
Style Transfer (HP)
|
100% |
27199
35.0 IPS |
|
|
Style Transfer (Q)
|
98% |
77957
100.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5341
197.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6381
235.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
16989
629.2 IPS |
|
|
Text Classification (SP)
|
100% |
2826
3.77 KIPS |
|
|
Text Classification (HP)
|
100% |
2134
2.85 KIPS |
|
|
Text Classification (Q)
|
92% |
5266
7.07 KIPS |
|
|
Machine Translation (SP)
|
100% |
2846
49.0 IPS |
|
|
Machine Translation (HP)
|
100% |
4885
84.1 IPS |
|
|
Machine Translation (Q)
|
100% |
2954
50.9 IPS |
