Micro-Star International Co., Ltd. MS-7E32
Geekbench AI Score
9488
Single Precision Score
2312
Half Precision Score
3547
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| Upload Date | June 01 2025 08:42 AM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | NPU |
| Device | Intel(R) AI Boost |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | Micro-Star International Co., Ltd. MS-7E32 |
| Motherboard | Micro-Star International Co., Ltd. PRO Z890-A 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% |
5987
1.11 KIPS |
|
|
Image Classification (HP)
|
100% |
1615
300.4 IPS |
|
|
Image Classification (Q)
|
100% |
2333
433.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
8416
136.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
614
9.96 IPS |
|
|
Image Segmentation (Q)
|
99% |
758
12.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
14875
17.4 IPS |
|
|
Pose Estimation (HP)
|
100% |
7402
8.64 IPS |
|
|
Pose Estimation (Q)
|
96% |
16097
18.9 IPS |
|
|
Object Detection (SP)
|
100% |
6010
476.8 IPS |
|
|
Object Detection (HP)
|
100% |
1341
106.4 IPS |
|
|
Object Detection (Q)
|
87% |
2254
180.9 IPS |
|
|
Face Detection (SP)
|
100% |
16769
199.2 IPS |
|
|
Face Detection (HP)
|
100% |
4009
47.6 IPS |
|
|
Face Detection (Q)
|
100% |
7718
91.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
13982
107.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
4510
34.8 IPS |
|
|
Depth Estimation (Q)
|
88% |
8314
64.7 IPS |
|
|
Style Transfer (SP)
|
100% |
41907
53.9 IPS |
|
|
Style Transfer (HP)
|
100% |
12990
16.7 IPS |
|
|
Style Transfer (Q)
|
98% |
23468
30.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
8721
322.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
3130
115.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5317
196.9 IPS |
|
|
Text Classification (SP)
|
100% |
4252
5.68 KIPS |
|
|
Text Classification (HP)
|
100% |
558
744.1 IPS |
|
|
Text Classification (Q)
|
92% |
559
751.4 IPS |
|
|
Machine Translation (SP)
|
100% |
3604
62.1 IPS |
|
|
Machine Translation (HP)
|
100% |
1084
18.7 IPS |
|
|
Machine Translation (Q)
|
100% |
1098
18.9 IPS |
