Micro-Star International Co., Ltd. MS-7E22
Geekbench AI Score
5332
Single Precision Score
2147
Half Precision Score
6983
Quantized Score
Geekbench AI 1.1.0 Corporate for Windows AVX2
Result Information
| User | citytrader |
| Upload Date | February 23 2025 11:01 PM |
| Views | 15 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| 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-7E22 |
| Motherboard | Micro-Star International Co., Ltd. MEG Z890 ACE (MS-7E22) |
| Power Plan | Balanced |
| 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 | 64.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
3076
572.0 IPS |
|
|
Image Classification (HP)
|
100% |
628
116.8 IPS |
|
|
Image Classification (Q)
|
99% |
5299
988.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
2630
42.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
1486
24.1 IPS |
|
|
Image Segmentation (Q)
|
98% |
4614
75.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
14031
16.4 IPS |
|
|
Pose Estimation (HP)
|
100% |
7830
9.14 IPS |
|
|
Pose Estimation (Q)
|
95% |
46206
54.2 IPS |
|
|
Object Detection (SP)
|
100% |
3364
266.9 IPS |
|
|
Object Detection (HP)
|
100% |
972
77.1 IPS |
|
|
Object Detection (Q)
|
88% |
2916
233.8 IPS |
|
|
Face Detection (SP)
|
100% |
5754
68.4 IPS |
|
|
Face Detection (HP)
|
100% |
2100
25.0 IPS |
|
|
Face Detection (Q)
|
97% |
6021
71.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
12771
98.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
3195
24.6 IPS |
|
|
Depth Estimation (Q)
|
77% |
12383
99.1 IPS |
|
|
Style Transfer (SP)
|
100% |
32532
41.8 IPS |
|
|
Style Transfer (HP)
|
100% |
20167
25.9 IPS |
|
|
Style Transfer (Q)
|
98% |
29116
37.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3941
145.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2469
91.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
6136
227.2 IPS |
|
|
Text Classification (SP)
|
100% |
1899
2.53 KIPS |
|
|
Text Classification (HP)
|
100% |
850
1.14 KIPS |
|
|
Text Classification (Q)
|
97% |
1705
2.28 KIPS |
|
|
Machine Translation (SP)
|
100% |
2723
46.9 IPS |
|
|
Machine Translation (HP)
|
100% |
1033
17.8 IPS |
|
|
Machine Translation (Q)
|
60% |
3686
82.2 IPS |
