MouseComputer Co.,Ltd. B450M-A
Geekbench AI Score
13675
Single Precision Score
22782
Half Precision Score
9462
Quantized Score
Geekbench AI 1.4.0 for Windows AVX2
Result Information
| Upload Date | July 12 2025 11:08 AM |
| Views | 7 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce RTX 3060 |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Home (64-bit) |
| Model | MouseComputer Co.,Ltd. B450M-A |
| Motherboard | MouseComputer Co.,Ltd. B450M-A |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 7 3700X |
| Topology | 1 Processor, 8 Cores, 16 Threads |
| Identifier | AuthenticAMD Family 23 Model 113 Stepping 0 |
| Base Frequency | 3.60 GHz |
| Cluster 1 | 8 Cores |
| Memory Information | |
|---|---|
| Size | 64.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
5801
1.08 KIPS |
|
|
Image Classification (HP)
|
99% |
9173
1.71 KIPS |
|
|
Image Classification (Q)
|
99% |
4393
819.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
9264
150.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
13886
225.1 IPS |
|
|
Image Segmentation (Q)
|
98% |
7467
121.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
69203
80.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
179706
209.7 IPS |
|
|
Pose Estimation (Q)
|
96% |
57481
67.3 IPS |
|
|
Object Detection (SP)
|
100% |
6832
541.9 IPS |
|
|
Object Detection (HP)
|
100% |
11984
950.6 IPS |
|
|
Object Detection (Q)
|
84% |
5393
434.9 IPS |
|
|
Face Detection (SP)
|
100% |
16416
195.1 IPS |
|
|
Face Detection (HP)
|
100% |
25889
307.6 IPS |
|
|
Face Detection (Q)
|
97% |
12968
154.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
32673
251.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
64555
498.8 IPS |
|
|
Depth Estimation (Q)
|
77% |
22786
182.4 IPS |
|
|
Style Transfer (SP)
|
100% |
114616
147.3 IPS |
|
|
Style Transfer (HP)
|
100% |
285552
367.1 IPS |
|
|
Style Transfer (Q)
|
98% |
92832
119.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
20443
754.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
32675
1.21 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
13053
483.3 IPS |
|
|
Text Classification (SP)
|
100% |
2141
2.86 KIPS |
|
|
Text Classification (HP)
|
99% |
2574
3.44 KIPS |
|
|
Text Classification (Q)
|
97% |
1156
1.55 KIPS |
|
|
Machine Translation (SP)
|
100% |
3346
57.6 IPS |
|
|
Machine Translation (HP)
|
100% |
3421
58.9 IPS |
|
|
Machine Translation (Q)
|
70% |
1367
25.6 IPS |
