Micro-Star International Co., Ltd. MS-7E32
Geekbench AI Score
7698
Single Precision Score
4448
Half Precision Score
18373
Quantized Score
Geekbench AI 1.2.0 Corporate for Windows AVX2
Result Information
| User | boris_sdk |
| Upload Date | June 09 2025 05:53 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | Intel(R) Core(TM) Ultra 7 265K |
| 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% |
4803
893.3 IPS |
|
|
Image Classification (HP)
|
100% |
2114
393.1 IPS |
|
|
Image Classification (Q)
|
100% |
10838
2.02 KIPS |
|
|
Image Segmentation (SP)
|
100% |
5858
95.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
2602
42.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
12783
207.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
9178
10.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
5883
6.86 IPS |
|
|
Pose Estimation (Q)
|
96% |
35507
41.6 IPS |
|
|
Object Detection (SP)
|
100% |
4505
357.4 IPS |
|
|
Object Detection (HP)
|
100% |
2415
191.6 IPS |
|
|
Object Detection (Q)
|
88% |
11768
943.3 IPS |
|
|
Face Detection (SP)
|
100% |
13816
164.2 IPS |
|
|
Face Detection (HP)
|
100% |
6285
74.7 IPS |
|
|
Face Detection (Q)
|
100% |
32720
388.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
11844
91.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
6786
52.3 IPS |
|
|
Depth Estimation (Q)
|
89% |
34078
264.9 IPS |
|
|
Style Transfer (SP)
|
100% |
27440
35.3 IPS |
|
|
Style Transfer (HP)
|
100% |
17403
22.4 IPS |
|
|
Style Transfer (Q)
|
98% |
98833
127.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5714
211.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
3880
143.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
19063
706.0 IPS |
|
|
Text Classification (SP)
|
100% |
4625
6.17 KIPS |
|
|
Text Classification (HP)
|
100% |
2661
3.55 KIPS |
|
|
Text Classification (Q)
|
92% |
6790
9.12 KIPS |
|
|
Machine Translation (SP)
|
100% |
5295
91.2 IPS |
|
|
Machine Translation (HP)
|
100% |
5067
87.3 IPS |
|
|
Machine Translation (Q)
|
100% |
5310
91.5 IPS |
