Micro-Star International Co., Ltd. MS-7E22
Geekbench AI Score
7301
Single Precision Score
4220
Half Precision Score
16760
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| Upload Date | March 18 2025 03:57 PM |
| Views | 8 |
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-7E22 |
| Motherboard | Micro-Star International Co., Ltd. MEG Z890 ACE (MS-7E22) |
| Power Plan | Ausbalanciert |
| 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% |
4564
848.8 IPS |
|
|
Image Classification (HP)
|
100% |
2026
376.9 IPS |
|
|
Image Classification (Q)
|
100% |
10169
1.89 KIPS |
|
|
Image Segmentation (SP)
|
100% |
5619
91.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
2484
40.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
10054
163.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
8692
10.1 IPS |
|
|
Pose Estimation (HP)
|
100% |
5672
6.62 IPS |
|
|
Pose Estimation (Q)
|
96% |
33307
39.0 IPS |
|
|
Object Detection (SP)
|
100% |
4337
344.0 IPS |
|
|
Object Detection (HP)
|
100% |
2261
179.3 IPS |
|
|
Object Detection (Q)
|
88% |
10844
869.3 IPS |
|
|
Face Detection (SP)
|
100% |
13390
159.1 IPS |
|
|
Face Detection (HP)
|
100% |
6018
71.5 IPS |
|
|
Face Detection (Q)
|
100% |
30938
367.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
11320
87.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
6508
50.1 IPS |
|
|
Depth Estimation (Q)
|
89% |
32530
252.9 IPS |
|
|
Style Transfer (SP)
|
100% |
25882
33.3 IPS |
|
|
Style Transfer (HP)
|
100% |
16580
21.3 IPS |
|
|
Style Transfer (Q)
|
98% |
91926
118.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5313
196.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
3632
134.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
17356
642.8 IPS |
|
|
Text Classification (SP)
|
100% |
4325
5.77 KIPS |
|
|
Text Classification (HP)
|
100% |
2488
3.32 KIPS |
|
|
Text Classification (Q)
|
92% |
6335
8.51 KIPS |
|
|
Machine Translation (SP)
|
100% |
4942
85.1 IPS |
|
|
Machine Translation (HP)
|
100% |
4730
81.5 IPS |
|
|
Machine Translation (Q)
|
100% |
4658
80.2 IPS |
