Micro-Star International Co., Ltd. MS-7E66
Geekbench AI Score
20196
Single Precision Score
37966
Half Precision Score
15059
Quantized Score
Geekbench AI 1.1.0 for Windows AVX2
Result Information
| Upload Date | August 21 2025 06:47 AM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce RTX 5060 |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | Micro-Star International Co., Ltd. MS-7E66 |
| Motherboard | Micro-Star International Co., Ltd. B850M GAMING PLUS WIFI (MS-7E66) |
| Power Plan | Ultimate Performance |
| 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% |
8124
1.51 KIPS |
|
|
Image Classification (HP)
|
100% |
15624
2.91 KIPS |
|
|
Image Classification (Q)
|
100% |
7064
1.31 KIPS |
|
|
Image Segmentation (SP)
|
100% |
14162
229.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
21654
351.0 IPS |
|
|
Image Segmentation (Q)
|
98% |
13197
214.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
100246
117.0 IPS |
|
|
Pose Estimation (HP)
|
100% |
318352
371.5 IPS |
|
|
Pose Estimation (Q)
|
94% |
83391
97.8 IPS |
|
|
Object Detection (SP)
|
100% |
10939
867.7 IPS |
|
|
Object Detection (HP)
|
100% |
18854
1.50 KIPS |
|
|
Object Detection (Q)
|
89% |
8936
715.5 IPS |
|
|
Face Detection (SP)
|
100% |
24426
290.2 IPS |
|
|
Face Detection (HP)
|
100% |
41137
488.8 IPS |
|
|
Face Detection (Q)
|
97% |
20078
239.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
48552
374.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
101725
783.7 IPS |
|
|
Depth Estimation (Q)
|
76% |
38325
308.1 IPS |
|
|
Style Transfer (SP)
|
100% |
152981
196.7 IPS |
|
|
Style Transfer (HP)
|
100% |
547978
704.4 IPS |
|
|
Style Transfer (Q)
|
98% |
128537
165.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
29427
1.09 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
58426
2.16 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
22679
839.8 IPS |
|
|
Text Classification (SP)
|
100% |
3572
4.77 KIPS |
|
|
Text Classification (HP)
|
100% |
4487
5.99 KIPS |
|
|
Text Classification (Q)
|
97% |
2244
3.00 KIPS |
|
|
Machine Translation (SP)
|
100% |
4694
80.8 IPS |
|
|
Machine Translation (HP)
|
100% |
5098
87.8 IPS |
|
|
Machine Translation (Q)
|
60% |
1716
38.3 IPS |
