Micro-Star International Co., Ltd. MS-7E32
Geekbench AI Score
7451
Single Precision Score
10132
Half Precision Score
15307
Quantized Score
Geekbench AI 1.2.0 Corporate for Windows AVX2
Result Information
| User | boris_sdk |
| Upload Date | June 09 2025 05:18 PM |
| Views | 2 |
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. MAG Z890 TOMAHAWK WIFI (MS-7E32) |
| Power Plan | Atlas Power Scheme |
| CPU Information | |
|---|---|
| Name | Intel(R) Core(TM) Ultra 7 265K |
| Topology | 1 Processor, 20 Cores |
| Identifier | GenuineIntel Family 6 Model 198 Stepping 2 |
| Base Frequency | 3.90 GHz |
| Cluster 1 | 8 Cores |
| Cluster 2 | 12 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
4589
853.4 IPS |
|
|
Image Classification (HP)
|
100% |
7392
1.37 KIPS |
|
|
Image Classification (Q)
|
100% |
10229
1.90 KIPS |
|
|
Image Segmentation (SP)
|
100% |
5729
92.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
2829
45.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
3676
59.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
8930
10.4 IPS |
|
|
Pose Estimation (HP)
|
100% |
34851
40.7 IPS |
|
|
Pose Estimation (Q)
|
96% |
75193
88.1 IPS |
|
|
Object Detection (SP)
|
100% |
4337
344.0 IPS |
|
|
Object Detection (HP)
|
100% |
6006
476.4 IPS |
|
|
Object Detection (Q)
|
87% |
9578
768.7 IPS |
|
|
Face Detection (SP)
|
100% |
13234
157.2 IPS |
|
|
Face Detection (HP)
|
100% |
16854
200.3 IPS |
|
|
Face Detection (Q)
|
100% |
29209
347.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
11505
88.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
20305
156.4 IPS |
|
|
Depth Estimation (Q)
|
88% |
37252
289.9 IPS |
|
|
Style Transfer (SP)
|
100% |
26272
33.8 IPS |
|
|
Style Transfer (HP)
|
100% |
55346
71.1 IPS |
|
|
Style Transfer (Q)
|
98% |
101867
131.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5602
206.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
14813
547.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
24869
921.0 IPS |
|
|
Text Classification (SP)
|
100% |
4487
5.99 KIPS |
|
|
Text Classification (HP)
|
100% |
2469
3.30 KIPS |
|
|
Text Classification (Q)
|
92% |
2477
3.33 KIPS |
|
|
Machine Translation (SP)
|
100% |
5157
88.8 IPS |
|
|
Machine Translation (HP)
|
100% |
3763
64.8 IPS |
|
|
Machine Translation (Q)
|
100% |
3820
65.8 IPS |
