Micro-Star International Co., Ltd. MS-7E32
Geekbench AI Score
6399
Single Precision Score
9920
Half Precision Score
14685
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| Upload Date | June 01 2025 02:16 AM |
| Views | 3 |
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. PRO Z890-A WIFI (MS-7E32) |
| Power Plan | Balanced |
| 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 | 96.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
4386
815.7 IPS |
|
|
Image Classification (HP)
|
100% |
6640
1.23 KIPS |
|
|
Image Classification (Q)
|
100% |
8802
1.64 KIPS |
|
|
Image Segmentation (SP)
|
100% |
4981
80.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
10255
166.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
14080
228.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
12287
14.3 IPS |
|
|
Pose Estimation (HP)
|
99% |
11595
13.6 IPS |
|
|
Pose Estimation (Q)
|
97% |
38767
45.4 IPS |
|
|
Object Detection (SP)
|
100% |
4069
322.8 IPS |
|
|
Object Detection (HP)
|
100% |
6362
504.6 IPS |
|
|
Object Detection (Q)
|
88% |
9716
778.6 IPS |
|
|
Face Detection (SP)
|
100% |
10225
121.5 IPS |
|
|
Face Detection (HP)
|
100% |
18472
219.5 IPS |
|
|
Face Detection (Q)
|
100% |
25894
307.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
13691
105.5 IPS |
|
|
Depth Estimation (HP)
|
98% |
23889
184.6 IPS |
|
|
Depth Estimation (Q)
|
89% |
27275
212.0 IPS |
|
|
Style Transfer (SP)
|
100% |
30857
39.7 IPS |
|
|
Style Transfer (HP)
|
100% |
44689
57.4 IPS |
|
|
Style Transfer (Q)
|
98% |
91562
118.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5474
202.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
9796
361.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
16086
595.7 IPS |
|
|
Text Classification (SP)
|
71% |
1784
2.58 KIPS |
|
|
Text Classification (HP)
|
71% |
2691
3.89 KIPS |
|
|
Text Classification (Q)
|
92% |
2717
3.65 KIPS |
|
|
Machine Translation (SP)
|
100% |
2499
43.1 IPS |
|
|
Machine Translation (HP)
|
96% |
3537
61.2 IPS |
|
|
Machine Translation (Q)
|
100% |
3536
60.9 IPS |
