Micro-Star International Co., Ltd. MS-7C56
Geekbench AI Score
5838
Single Precision Score
5805
Half Precision Score
4325
Quantized Score
Geekbench AI 1.5.0 for Windows AVX2
Result Information
| Upload Date | November 08 2025 02:29 PM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce GTX 1060 3GB |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Education (64-bit) |
| Model | Micro-Star International Co., Ltd. MS-7C56 |
| Motherboard | Micro-Star International Co., Ltd. B550-A PRO (MS-7C56) |
| Power Plan | AMD Ryzen Balanced |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 5 3500X |
| Topology | 1 Processor, 6 Cores |
| Identifier | AuthenticAMD Family 23 Model 113 Stepping 0 |
| Base Frequency | 3.60 GHz |
| Cluster 1 | 6 Cores |
| Memory Information | |
|---|---|
| Size | 48.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1269
236.0 IPS |
|
|
Image Classification (HP)
|
100% |
2359
438.8 IPS |
|
|
Image Classification (Q)
|
99% |
1164
217.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
3764
61.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
3379
54.8 IPS |
|
|
Image Segmentation (Q)
|
98% |
3093
50.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
36242
42.3 IPS |
|
|
Pose Estimation (HP)
|
100% |
18848
22.0 IPS |
|
|
Pose Estimation (Q)
|
96% |
29422
34.5 IPS |
|
|
Object Detection (SP)
|
100% |
1800
142.7 IPS |
|
|
Object Detection (HP)
|
100% |
2928
232.3 IPS |
|
|
Object Detection (Q)
|
83% |
1602
129.4 IPS |
|
|
Face Detection (SP)
|
100% |
3625
43.1 IPS |
|
|
Face Detection (HP)
|
100% |
5459
64.9 IPS |
|
|
Face Detection (Q)
|
97% |
3217
38.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
12055
92.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
10804
83.5 IPS |
|
|
Depth Estimation (Q)
|
78% |
9572
76.4 IPS |
|
|
Style Transfer (SP)
|
100% |
57554
74.0 IPS |
|
|
Style Transfer (HP)
|
100% |
35217
45.3 IPS |
|
|
Style Transfer (Q)
|
98% |
44866
57.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
11864
438.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
8191
302.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
7515
278.3 IPS |
|
|
Text Classification (SP)
|
100% |
1564
2.09 KIPS |
|
|
Text Classification (HP)
|
100% |
1913
2.55 KIPS |
|
|
Text Classification (Q)
|
97% |
950
1.27 KIPS |
|
|
Machine Translation (SP)
|
100% |
3164
54.5 IPS |
|
|
Machine Translation (HP)
|
96% |
3039
52.6 IPS |
|
|
Machine Translation (Q)
|
70% |
1370
25.7 IPS |
