Micro-Star International Co., Ltd. MS-7C95
Geekbench AI Score
13629
Single Precision Score
22838
Half Precision Score
9537
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| Upload Date | September 26 2025 02:23 PM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce RTX 3060 |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | Micro-Star International Co., Ltd. MS-7C95 |
| Motherboard | Micro-Star International Co., Ltd. B550M PRO-VDH WIFI (MS-7C95) |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 5 5600X |
| Topology | 1 Processor, 6 Cores, 12 Threads |
| Identifier | AuthenticAMD Family 25 Model 33 Stepping 2 |
| Base Frequency | 3.70 GHz |
| Cluster 1 | 6 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
6237
1.16 KIPS |
|
|
Image Classification (HP)
|
99% |
10137
1.89 KIPS |
|
|
Image Classification (Q)
|
99% |
4681
873.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
7997
129.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
11268
182.7 IPS |
|
|
Image Segmentation (Q)
|
98% |
6703
109.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
69887
81.5 IPS |
|
|
Pose Estimation (HP)
|
100% |
196056
228.8 IPS |
|
|
Pose Estimation (Q)
|
96% |
57755
67.7 IPS |
|
|
Object Detection (SP)
|
100% |
6974
553.2 IPS |
|
|
Object Detection (HP)
|
100% |
11690
927.3 IPS |
|
|
Object Detection (Q)
|
84% |
5540
446.9 IPS |
|
|
Face Detection (SP)
|
100% |
15841
188.2 IPS |
|
|
Face Detection (HP)
|
100% |
24025
285.5 IPS |
|
|
Face Detection (Q)
|
97% |
12867
153.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
35683
274.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
67402
520.7 IPS |
|
|
Depth Estimation (Q)
|
77% |
24244
194.1 IPS |
|
|
Style Transfer (SP)
|
100% |
117121
150.6 IPS |
|
|
Style Transfer (HP)
|
100% |
301027
387.0 IPS |
|
|
Style Transfer (Q)
|
98% |
95165
122.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
21522
794.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
35925
1.33 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
13777
510.1 IPS |
|
|
Text Classification (SP)
|
100% |
2304
3.08 KIPS |
|
|
Text Classification (HP)
|
99% |
2990
3.99 KIPS |
|
|
Text Classification (Q)
|
97% |
1203
1.61 KIPS |
|
|
Machine Translation (SP)
|
100% |
2771
47.7 IPS |
|
|
Machine Translation (HP)
|
100% |
2816
48.5 IPS |
|
|
Machine Translation (Q)
|
70% |
1261
23.7 IPS |
