Micro-Star International Co., Ltd. MS-7E54
Geekbench AI Score
6712
Single Precision Score
4766
Half Precision Score
16858
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| Upload Date | May 15 2025 05:10 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | Intel(R) Core(TM) Ultra 7 265KF |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | Micro-Star International Co., Ltd. MS-7E54 |
| Motherboard | Micro-Star International Co., Ltd. PRO Z890-S WIFI (MS-7E54) |
| Power Plan | Bilanciato |
| CPU Information | |
|---|---|
| Name | Intel(R) Core(TM) Ultra 7 265KF |
| 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% |
4179
777.2 IPS |
|
|
Image Classification (HP)
|
100% |
3041
565.5 IPS |
|
|
Image Classification (Q)
|
100% |
10366
1.93 KIPS |
|
|
Image Segmentation (SP)
|
100% |
5327
86.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
2534
41.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
12147
196.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
8101
9.45 IPS |
|
|
Pose Estimation (HP)
|
100% |
5430
6.34 IPS |
|
|
Pose Estimation (Q)
|
96% |
31407
36.8 IPS |
|
|
Object Detection (SP)
|
100% |
3729
295.8 IPS |
|
|
Object Detection (HP)
|
100% |
3000
237.9 IPS |
|
|
Object Detection (Q)
|
88% |
11100
889.8 IPS |
|
|
Face Detection (SP)
|
100% |
10820
128.6 IPS |
|
|
Face Detection (HP)
|
100% |
9565
113.7 IPS |
|
|
Face Detection (Q)
|
100% |
29038
345.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
9708
74.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
7404
57.0 IPS |
|
|
Depth Estimation (Q)
|
89% |
29792
231.6 IPS |
|
|
Style Transfer (SP)
|
100% |
23705
30.5 IPS |
|
|
Style Transfer (HP)
|
100% |
16002
20.6 IPS |
|
|
Style Transfer (Q)
|
98% |
90624
116.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5148
190.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
3436
126.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
17028
630.6 IPS |
|
|
Text Classification (SP)
|
100% |
3996
5.33 KIPS |
|
|
Text Classification (HP)
|
100% |
2371
3.16 KIPS |
|
|
Text Classification (Q)
|
92% |
5938
7.98 KIPS |
|
|
Machine Translation (SP)
|
100% |
5395
92.9 IPS |
|
|
Machine Translation (HP)
|
100% |
5228
90.1 IPS |
|
|
Machine Translation (Q)
|
100% |
5328
91.8 IPS |
