Micro-Star International Co., Ltd. MS-7E28
Geekbench AI Score
22232
Single Precision Score
40224
Half Precision Score
17387
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| Upload Date | June 14 2025 11:49 AM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce RTX 5060 Ti |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | Micro-Star International Co., Ltd. MS-7E28 |
| Motherboard | Micro-Star International Co., Ltd. PRO B650M-B (MS-7E28) |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 5 7600X |
| Topology | 1 Processor, 6 Cores, 12 Threads |
| Identifier | AuthenticAMD Family 25 Model 97 Stepping 2 |
| Base Frequency | 4.70 GHz |
| Cluster 1 | 6 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
9589
1.78 KIPS |
|
|
Image Classification (HP)
|
100% |
16583
3.08 KIPS |
|
|
Image Classification (Q)
|
100% |
8712
1.62 KIPS |
|
|
Image Segmentation (SP)
|
100% |
14486
234.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
20058
325.2 IPS |
|
|
Image Segmentation (Q)
|
98% |
13438
218.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
123224
143.8 IPS |
|
|
Pose Estimation (HP)
|
100% |
383818
447.9 IPS |
|
|
Pose Estimation (Q)
|
96% |
115228
135.0 IPS |
|
|
Object Detection (SP)
|
100% |
11611
921.0 IPS |
|
|
Object Detection (HP)
|
100% |
20128
1.60 KIPS |
|
|
Object Detection (Q)
|
83% |
9990
807.2 IPS |
|
|
Face Detection (SP)
|
100% |
28389
337.3 IPS |
|
|
Face Detection (HP)
|
100% |
44798
532.3 IPS |
|
|
Face Detection (Q)
|
97% |
24928
297.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
54732
421.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
113020
870.8 IPS |
|
|
Depth Estimation (Q)
|
78% |
43666
348.5 IPS |
|
|
Style Transfer (SP)
|
100% |
173192
222.6 IPS |
|
|
Style Transfer (HP)
|
100% |
594111
763.7 IPS |
|
|
Style Transfer (Q)
|
98% |
150791
194.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
34599
1.28 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
65739
2.43 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
26315
974.4 IPS |
|
|
Text Classification (SP)
|
100% |
3726
4.97 KIPS |
|
|
Text Classification (HP)
|
100% |
4559
6.09 KIPS |
|
|
Text Classification (Q)
|
97% |
2348
3.15 KIPS |
|
|
Machine Translation (SP)
|
100% |
4280
73.7 IPS |
|
|
Machine Translation (HP)
|
100% |
4787
82.5 IPS |
|
|
Machine Translation (Q)
|
70% |
1848
34.7 IPS |
