Micro-Star International Co., Ltd. MS-7E33
Geekbench AI Score
6741
Single Precision Score
4667
Half Precision Score
16604
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| Upload Date | August 12 2025 02:49 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 Professionnel (64-bit) |
| Model | Micro-Star International Co., Ltd. MS-7E33 |
| Motherboard | Micro-Star International Co., Ltd. MPG Z890I EDGE TI WIFI (MS-7E33) |
| Power Plan | Utilisation normale |
| 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 | 48.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
4013
746.4 IPS |
|
|
Image Classification (HP)
|
100% |
3040
565.4 IPS |
|
|
Image Classification (Q)
|
100% |
9525
1.77 KIPS |
|
|
Image Segmentation (SP)
|
100% |
5306
86.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
2496
40.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
12416
201.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
8029
9.37 IPS |
|
|
Pose Estimation (HP)
|
100% |
5269
6.15 IPS |
|
|
Pose Estimation (Q)
|
96% |
30884
36.2 IPS |
|
|
Object Detection (SP)
|
100% |
3647
289.3 IPS |
|
|
Object Detection (HP)
|
100% |
2818
223.5 IPS |
|
|
Object Detection (Q)
|
88% |
10636
852.6 IPS |
|
|
Face Detection (SP)
|
100% |
12424
147.6 IPS |
|
|
Face Detection (HP)
|
100% |
9545
113.4 IPS |
|
|
Face Detection (Q)
|
100% |
30476
362.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
9886
76.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
7179
55.3 IPS |
|
|
Depth Estimation (Q)
|
89% |
29030
225.7 IPS |
|
|
Style Transfer (SP)
|
100% |
24180
31.1 IPS |
|
|
Style Transfer (HP)
|
100% |
15566
20.0 IPS |
|
|
Style Transfer (Q)
|
98% |
88059
113.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4987
184.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
3403
125.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
16538
612.5 IPS |
|
|
Text Classification (SP)
|
100% |
3867
5.16 KIPS |
|
|
Text Classification (HP)
|
100% |
2336
3.12 KIPS |
|
|
Text Classification (Q)
|
92% |
5952
8.00 KIPS |
|
|
Machine Translation (SP)
|
100% |
5430
93.5 IPS |
|
|
Machine Translation (HP)
|
100% |
5139
88.5 IPS |
|
|
Machine Translation (Q)
|
100% |
5349
92.1 IPS |
