Micro-Star International Co., Ltd. MS-7E28
Geekbench AI Score
22434
Single Precision Score
40879
Half Precision Score
17530
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| Upload Date | September 16 2025 11:01 AM |
| Views | 2 |
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 9600X |
| Topology | 1 Processor, 6 Cores, 12 Threads |
| Identifier | AuthenticAMD Family 26 Model 68 Stepping 0 |
| Base Frequency | 3.90 GHz |
| Cluster 1 | 6 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
9613
1.79 KIPS |
|
|
Image Classification (HP)
|
100% |
16918
3.15 KIPS |
|
|
Image Classification (Q)
|
100% |
8828
1.64 KIPS |
|
|
Image Segmentation (SP)
|
100% |
14340
232.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
19980
323.9 IPS |
|
|
Image Segmentation (Q)
|
98% |
13644
221.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
121728
142.0 IPS |
|
|
Pose Estimation (HP)
|
100% |
381879
445.6 IPS |
|
|
Pose Estimation (Q)
|
96% |
114785
134.5 IPS |
|
|
Object Detection (SP)
|
100% |
11783
934.6 IPS |
|
|
Object Detection (HP)
|
100% |
20845
1.65 KIPS |
|
|
Object Detection (Q)
|
83% |
10136
819.0 IPS |
|
|
Face Detection (SP)
|
100% |
28616
340.0 IPS |
|
|
Face Detection (HP)
|
100% |
45719
543.2 IPS |
|
|
Face Detection (Q)
|
97% |
24936
297.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
55248
425.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
113521
874.6 IPS |
|
|
Depth Estimation (Q)
|
78% |
44055
351.6 IPS |
|
|
Style Transfer (SP)
|
100% |
171568
220.6 IPS |
|
|
Style Transfer (HP)
|
100% |
592130
761.2 IPS |
|
|
Style Transfer (Q)
|
98% |
148760
191.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
34412
1.27 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
67087
2.48 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
25991
962.4 IPS |
|
|
Text Classification (SP)
|
100% |
3957
5.28 KIPS |
|
|
Text Classification (HP)
|
100% |
4928
6.58 KIPS |
|
|
Text Classification (Q)
|
97% |
2385
3.20 KIPS |
|
|
Machine Translation (SP)
|
100% |
4422
76.2 IPS |
|
|
Machine Translation (HP)
|
100% |
4767
82.1 IPS |
|
|
Machine Translation (Q)
|
70% |
1931
36.2 IPS |
