Micro-Star International Co., Ltd. MS-7E32
Geekbench AI Score
5868
Single Precision Score
9233
Half Precision Score
13897
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| Upload Date | April 25 2025 12:09 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | GPU |
| Device | Intel(R) Graphics (iGPU) |
| 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% |
4001
744.0 IPS |
|
|
Image Classification (HP)
|
100% |
6119
1.14 KIPS |
|
|
Image Classification (Q)
|
100% |
8367
1.56 KIPS |
|
|
Image Segmentation (SP)
|
100% |
4276
69.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
9431
152.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
12422
201.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
12055
14.1 IPS |
|
|
Pose Estimation (HP)
|
99% |
11308
13.2 IPS |
|
|
Pose Estimation (Q)
|
97% |
38195
44.7 IPS |
|
|
Object Detection (SP)
|
100% |
3714
294.6 IPS |
|
|
Object Detection (HP)
|
100% |
5942
471.3 IPS |
|
|
Object Detection (Q)
|
88% |
9525
763.3 IPS |
|
|
Face Detection (SP)
|
100% |
8252
98.0 IPS |
|
|
Face Detection (HP)
|
100% |
15692
186.4 IPS |
|
|
Face Detection (Q)
|
100% |
23535
279.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
12861
99.1 IPS |
|
|
Depth Estimation (HP)
|
98% |
22860
176.7 IPS |
|
|
Depth Estimation (Q)
|
89% |
26002
202.1 IPS |
|
|
Style Transfer (SP)
|
100% |
29449
37.9 IPS |
|
|
Style Transfer (HP)
|
100% |
42344
54.4 IPS |
|
|
Style Transfer (Q)
|
98% |
88911
114.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5344
197.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
9509
351.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
14969
554.3 IPS |
|
|
Text Classification (SP)
|
71% |
1663
2.41 KIPS |
|
|
Text Classification (HP)
|
71% |
2450
3.54 KIPS |
|
|
Text Classification (Q)
|
92% |
2668
3.58 KIPS |
|
|
Machine Translation (SP)
|
100% |
2276
39.2 IPS |
|
|
Machine Translation (HP)
|
96% |
3284
56.8 IPS |
|
|
Machine Translation (Q)
|
100% |
3272
56.4 IPS |
