Micro-Star International Co., Ltd MS-7B86
Geekbench AI Score
9580
Single Precision Score
13909
Half Precision Score
7261
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| User | MrZakioPCUK |
| Upload Date | July 12 2025 05:53 PM |
| Views | 15 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce RTX 3060 |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 10 Home (64-bit) |
| Model | Micro-Star International Co., Ltd MS-7B86 |
| Motherboard | Micro-Star International Co., Ltd B450-A PRO MAX (MS-7B86) |
| Power Plan | Ultimate Performance |
| 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% |
4069
756.7 IPS |
|
|
Image Classification (HP)
|
99% |
5441
1.01 KIPS |
|
|
Image Classification (Q)
|
99% |
3353
625.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
4307
69.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
5100
82.7 IPS |
|
|
Image Segmentation (Q)
|
98% |
3871
62.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
64147
74.8 IPS |
|
|
Pose Estimation (HP)
|
100% |
141438
165.0 IPS |
|
|
Pose Estimation (Q)
|
96% |
53516
62.7 IPS |
|
|
Object Detection (SP)
|
100% |
4389
348.1 IPS |
|
|
Object Detection (HP)
|
100% |
6040
479.1 IPS |
|
|
Object Detection (Q)
|
84% |
3740
301.7 IPS |
|
|
Face Detection (SP)
|
100% |
9734
115.7 IPS |
|
|
Face Detection (HP)
|
100% |
12440
147.8 IPS |
|
|
Face Detection (Q)
|
97% |
8460
100.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
28084
216.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
48841
377.3 IPS |
|
|
Depth Estimation (Q)
|
77% |
20373
163.1 IPS |
|
|
Style Transfer (SP)
|
100% |
101516
130.5 IPS |
|
|
Style Transfer (HP)
|
100% |
213065
273.9 IPS |
|
|
Style Transfer (Q)
|
98% |
84109
108.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
16925
625.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
24717
912.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
11552
427.8 IPS |
|
|
Text Classification (SP)
|
100% |
2074
2.77 KIPS |
|
|
Text Classification (HP)
|
99% |
2611
3.48 KIPS |
|
|
Text Classification (Q)
|
97% |
1136
1.52 KIPS |
|
|
Machine Translation (SP)
|
100% |
1356
23.4 IPS |
|
|
Machine Translation (HP)
|
100% |
1369
23.6 IPS |
|
|
Machine Translation (Q)
|
70% |
825
15.5 IPS |
