Micro-Star International Co., Ltd. MS-7E32
Geekbench AI Score
6807
Single Precision Score
10369
Half Precision Score
16185
Quantized Score
Geekbench AI 1.4.0 for Windows AVX2
Result Information
| Upload Date | September 03 2025 09:24 AM |
| Views | 6 |
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 | Dengeli |
| 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% |
4279
795.8 IPS |
|
|
Image Classification (HP)
|
100% |
7380
1.37 KIPS |
|
|
Image Classification (Q)
|
100% |
10319
1.92 KIPS |
|
|
Image Segmentation (SP)
|
100% |
5635
91.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
2863
46.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
3583
58.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
8311
9.70 IPS |
|
|
Pose Estimation (HP)
|
100% |
35398
41.3 IPS |
|
|
Pose Estimation (Q)
|
96% |
75618
88.6 IPS |
|
|
Object Detection (SP)
|
100% |
3850
305.4 IPS |
|
|
Object Detection (HP)
|
100% |
6134
486.5 IPS |
|
|
Object Detection (Q)
|
88% |
10696
857.5 IPS |
|
|
Face Detection (SP)
|
100% |
11564
137.4 IPS |
|
|
Face Detection (HP)
|
100% |
17972
213.5 IPS |
|
|
Face Detection (Q)
|
100% |
34144
405.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
9664
74.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
18222
140.4 IPS |
|
|
Depth Estimation (Q)
|
88% |
34081
265.2 IPS |
|
|
Style Transfer (SP)
|
100% |
24552
31.6 IPS |
|
|
Style Transfer (HP)
|
100% |
53316
68.5 IPS |
|
|
Style Transfer (Q)
|
98% |
97844
126.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5028
185.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
16510
609.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
32399
1.20 KIPS |
|
|
Text Classification (SP)
|
100% |
3999
5.34 KIPS |
|
|
Text Classification (HP)
|
100% |
2259
3.02 KIPS |
|
|
Text Classification (Q)
|
92% |
2284
3.07 KIPS |
|
|
Machine Translation (SP)
|
100% |
5024
86.5 IPS |
|
|
Machine Translation (HP)
|
100% |
4811
82.9 IPS |
|
|
Machine Translation (Q)
|
100% |
4898
84.4 IPS |
