Micro-Star International Co., Ltd. MS-7E32
Geekbench AI Score
7575
Single Precision Score
4346
Half Precision Score
18022
Quantized Score
Geekbench AI 1.2.0 Corporate for Windows AVX2
Result Information
| User | boris_sdk |
| Upload Date | June 09 2025 05:25 PM |
| Views | 3 |
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% |
4613
857.8 IPS |
|
|
Image Classification (HP)
|
100% |
2092
389.0 IPS |
|
|
Image Classification (Q)
|
100% |
10586
1.97 KIPS |
|
|
Image Segmentation (SP)
|
100% |
5938
96.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
2530
41.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
12600
204.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
9009
10.5 IPS |
|
|
Pose Estimation (HP)
|
100% |
5777
6.74 IPS |
|
|
Pose Estimation (Q)
|
96% |
34660
40.6 IPS |
|
|
Object Detection (SP)
|
100% |
4449
352.9 IPS |
|
|
Object Detection (HP)
|
100% |
2365
187.6 IPS |
|
|
Object Detection (Q)
|
88% |
11471
919.6 IPS |
|
|
Face Detection (SP)
|
100% |
13594
161.5 IPS |
|
|
Face Detection (HP)
|
100% |
6279
74.6 IPS |
|
|
Face Detection (Q)
|
100% |
32336
384.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
11567
89.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
6632
51.1 IPS |
|
|
Depth Estimation (Q)
|
89% |
33758
262.4 IPS |
|
|
Style Transfer (SP)
|
100% |
27023
34.7 IPS |
|
|
Style Transfer (HP)
|
100% |
16819
21.6 IPS |
|
|
Style Transfer (Q)
|
98% |
97244
125.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5691
210.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
3728
137.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
18690
692.2 IPS |
|
|
Text Classification (SP)
|
100% |
4538
6.06 KIPS |
|
|
Text Classification (HP)
|
100% |
2598
3.47 KIPS |
|
|
Text Classification (Q)
|
92% |
6681
8.97 KIPS |
|
|
Machine Translation (SP)
|
100% |
5169
89.0 IPS |
|
|
Machine Translation (HP)
|
100% |
4907
84.5 IPS |
|
|
Machine Translation (Q)
|
100% |
5143
88.6 IPS |
