B450M Pro4-F
Geekbench ML Score
9628
ONNX DirectML Inference Score
Geekbench ML 0.6.0 for Windows AVX2
Result Information
| Upload Date | August 16 2024 07:30 PM |
| Views | 3 |
System Information
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | B450M Pro4-F |
| Motherboard | ASRock B450M Pro4-F |
| Power Plan | Alto rendimiento |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 5 5600 |
| Topology | 1 Processor, 6 Cores, 12 Threads |
| Identifier | AuthenticAMD Family 25 Model 33 Stepping 2 |
| Base Frequency | 3.50 GHz |
| Cluster 1 | 6 Cores |
| L1 Instruction Cache | 32.0 KB x 6 |
| L1 Data Cache | 32.0 KB x 6 |
| L2 Cache | 512 KB x 6 |
| L3 Cache | 32.0 MB x 1 |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
| Inference Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | AMD Radeon RX 6600 |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
6053
1.13 KIPS |
|
|
Image Classification (F16)
|
100% |
6001
1.12 KIPS |
|
|
Image Classification (I8)
|
100% |
5115
957.1 IPS |
|
|
Image Segmentation (F32)
|
100% |
6178
103.2 IPS |
|
|
Image Segmentation (F16)
|
100% |
6119
102.2 IPS |
|
|
Image Segmentation (I8)
|
98% |
5659
94.5 IPS |
|
|
Pose Estimation (F32)
|
100% |
81063
98.2 IPS |
|
|
Pose Estimation (F16)
|
100% |
81333
98.5 IPS |
|
|
Pose Estimation (I8)
|
100% |
67763
82.1 IPS |
|
|
Object Detection (F32)
|
100% |
2631
196.4 IPS |
|
|
Object Detection (F16)
|
100% |
2320
173.2 IPS |
|
|
Object Detection (I8)
|
62% |
2552
190.5 IPS |
|
|
Face Detection (F32)
|
100% |
15041
178.8 IPS |
|
|
Face Detection (F16)
|
100% |
14978
178.1 IPS |
|
|
Face Detection (I8)
|
89% |
11538
137.2 IPS |
|
|
Depth Estimation (F32)
|
100% |
26890
208.5 IPS |
|
|
Depth Estimation (F16)
|
100% |
25390
196.9 IPS |
|
|
Depth Estimation (I8)
|
95% |
18669
144.8 IPS |
|
|
Style Transfer (F32)
|
100% |
89052
117.1 IPS |
|
|
Style Transfer (F16)
|
100% |
85827
112.9 IPS |
|
|
Style Transfer (I8)
|
98% |
76689
100.9 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
8869
316.7 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
9047
323.1 IPS |
|
|
Image Super-Resolution (I8)
|
99% |
7846
280.2 IPS |
|
|
Text Classification (F32)
|
100% |
2128
3.06 KIPS |
|
|
Text Classification (F16)
|
100% |
2109
3.03 KIPS |
|
|
Text Classification (I8)
|
98% |
1632
2.35 KIPS |
|
|
Machine Translation (F32)
|
100% |
2660
49.0 IPS |
|
|
Machine Translation (F16)
|
100% |
2700
49.7 IPS |
|
|
Machine Translation (I8)
|
70% |
1808
33.3 IPS |
