Micro-Star International Co., Ltd. MS-7E32
Geekbench AI Score
7085
Single Precision Score
4284
Half Precision Score
18017
Quantized Score
Geekbench AI 1.2.0 Corporate for Windows AVX2
Result Information
| User | borissdk |
| Upload Date | May 31 2025 09:02 AM |
| 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 | Alto rendimiento |
| CPU Information | |
|---|---|
| Name | Intel(R) Core(TM) Ultra 7 265K |
| Topology | 1 Processor, 8 Cores |
| Identifier | GenuineIntel Family 6 Model 198 Stepping 2 |
| Base Frequency | 5.60 GHz |
| Cluster 1 | 8 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
4607
856.7 IPS |
|
|
Image Classification (HP)
|
100% |
2007
373.2 IPS |
|
|
Image Classification (Q)
|
100% |
10750
2.00 KIPS |
|
|
Image Segmentation (SP)
|
100% |
5690
92.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
2549
41.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
12939
209.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
8696
10.1 IPS |
|
|
Pose Estimation (HP)
|
100% |
5625
6.56 IPS |
|
|
Pose Estimation (Q)
|
96% |
33786
39.6 IPS |
|
|
Object Detection (SP)
|
100% |
4332
343.6 IPS |
|
|
Object Detection (HP)
|
100% |
2273
180.3 IPS |
|
|
Object Detection (Q)
|
88% |
11595
929.5 IPS |
|
|
Face Detection (SP)
|
100% |
8398
99.8 IPS |
|
|
Face Detection (HP)
|
100% |
6105
72.5 IPS |
|
|
Face Detection (Q)
|
100% |
32262
383.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
11307
87.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
6484
50.0 IPS |
|
|
Depth Estimation (Q)
|
89% |
33848
263.1 IPS |
|
|
Style Transfer (SP)
|
100% |
26371
33.9 IPS |
|
|
Style Transfer (HP)
|
100% |
16173
20.8 IPS |
|
|
Style Transfer (Q)
|
98% |
95593
123.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5492
202.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
3781
139.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
18738
693.9 IPS |
|
|
Text Classification (SP)
|
100% |
4603
6.14 KIPS |
|
|
Text Classification (HP)
|
100% |
2636
3.52 KIPS |
|
|
Text Classification (Q)
|
92% |
6785
9.11 KIPS |
|
|
Machine Translation (SP)
|
100% |
5101
87.9 IPS |
|
|
Machine Translation (HP)
|
100% |
4996
86.1 IPS |
|
|
Machine Translation (Q)
|
100% |
4985
85.9 IPS |
