Micro-Star International Co., Ltd. MS-7D25
Geekbench AI Score
937
Single Precision Score
400
Half Precision Score
1263
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| User | danny22 |
| Upload Date | January 27 2025 11:51 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel Core i5-13600K |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Home Insider Preview (64-bit) |
| Model | Micro-Star International Co., Ltd. MS-7D25 |
| Motherboard | Micro-Star International Co., Ltd. PRO Z690-A WIFI (MS-7D25) |
| Power Plan | AMD Ryzen Balanced |
| CPU Information | |
|---|---|
| Name | Intel Core i5-13600K |
| Topology | 1 Processor, 14 Cores, 20 Threads |
| Identifier | GenuineIntel Family 6 Model 183 Stepping 1 |
| Base Frequency | 3.50 GHz |
| Cluster 1 | 6 Cores |
| Cluster 2 | 8 Cores |
| Memory Information | |
|---|---|
| Size | 8.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
3058
568.6 IPS |
|
|
Image Classification (HP)
|
100% |
511
95.1 IPS |
|
|
Image Classification (Q)
|
99% |
6136
1.14 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1593
25.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
933
15.1 IPS |
|
|
Image Segmentation (Q)
|
98% |
3389
55.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
6604
7.71 IPS |
|
|
Pose Estimation (HP)
|
100% |
1152
1.34 IPS |
|
|
Pose Estimation (Q)
|
94% |
2925
3.43 IPS |
|
|
Object Detection (SP)
|
100% |
264
21.0 IPS |
|
|
Object Detection (HP)
|
100% |
119
9.43 IPS |
|
|
Object Detection (Q)
|
86% |
391
31.5 IPS |
|
|
Face Detection (SP)
|
100% |
684
8.13 IPS |
|
|
Face Detection (HP)
|
100% |
311
3.69 IPS |
|
|
Face Detection (Q)
|
97% |
1154
13.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
958
7.38 IPS |
|
|
Depth Estimation (HP)
|
99% |
414
3.19 IPS |
|
|
Depth Estimation (Q)
|
78% |
1173
9.36 IPS |
|
|
Style Transfer (SP)
|
100% |
4114
5.29 IPS |
|
|
Style Transfer (HP)
|
100% |
3122
4.01 IPS |
|
|
Style Transfer (Q)
|
98% |
4140
5.34 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
364
13.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
299
11.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
569
21.1 IPS |
|
|
Text Classification (SP)
|
100% |
175
233.5 IPS |
|
|
Text Classification (HP)
|
100% |
79
105.5 IPS |
|
|
Text Classification (Q)
|
97% |
259
347.6 IPS |
|
|
Machine Translation (SP)
|
100% |
361
6.21 IPS |
|
|
Machine Translation (HP)
|
100% |
170
2.92 IPS |
|
|
Machine Translation (Q)
|
65% |
529
10.6 IPS |
