Micro-Star International Co., Ltd. MS-7E22
Geekbench AI Score
5357
Single Precision Score
2276
Half Precision Score
6832
Quantized Score
Geekbench AI 1.1.0 Corporate for Windows AVX2
Result Information
| User | citytrader |
| Upload Date | February 24 2025 02:23 AM |
| Views | 16 |
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% |
2445
454.6 IPS |
|
|
Image Classification (HP)
|
100% |
757
140.8 IPS |
|
|
Image Classification (Q)
|
99% |
5261
981.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
2486
40.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
1524
24.7 IPS |
|
|
Image Segmentation (Q)
|
98% |
4219
68.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
14093
16.4 IPS |
|
|
Pose Estimation (HP)
|
100% |
7752
9.05 IPS |
|
|
Pose Estimation (Q)
|
95% |
43244
50.7 IPS |
|
|
Object Detection (SP)
|
100% |
3438
272.7 IPS |
|
|
Object Detection (HP)
|
100% |
954
75.7 IPS |
|
|
Object Detection (Q)
|
88% |
2970
238.1 IPS |
|
|
Face Detection (SP)
|
100% |
5996
71.2 IPS |
|
|
Face Detection (HP)
|
100% |
2328
27.7 IPS |
|
|
Face Detection (Q)
|
97% |
5438
64.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
11799
90.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
3342
25.7 IPS |
|
|
Depth Estimation (Q)
|
77% |
12157
97.3 IPS |
|
|
Style Transfer (SP)
|
100% |
31734
40.8 IPS |
|
|
Style Transfer (HP)
|
100% |
20232
26.0 IPS |
|
|
Style Transfer (Q)
|
98% |
31869
41.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4821
178.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
3546
130.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
6676
247.2 IPS |
|
|
Text Classification (SP)
|
100% |
2077
2.77 KIPS |
|
|
Text Classification (HP)
|
100% |
911
1.22 KIPS |
|
|
Text Classification (Q)
|
97% |
1874
2.51 KIPS |
|
|
Machine Translation (SP)
|
100% |
2944
50.7 IPS |
|
|
Machine Translation (HP)
|
100% |
862
14.8 IPS |
|
|
Machine Translation (Q)
|
60% |
2949
65.8 IPS |
