B450M-HDV R4.0
Geekbench ML Score
13377
ONNX DirectML Inference Score
Geekbench ML 0.6.0 for Windows AVX2
Result Information
| Upload Date | February 06 2025 11:18 AM |
| Views | 6 |
System Information
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | B450M-HDV R4.0 |
| Motherboard | ASRock B450M-HDV R4.0 |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 7 5700GE |
| Topology | 1 Processor, 8 Cores, 16 Threads |
| Identifier | AuthenticAMD Family 25 Model 80 Stepping 0 |
| Base Frequency | 3.20 GHz |
| Cluster 1 | 8 Cores |
| L1 Instruction Cache | 32.0 KB x 8 |
| L1 Data Cache | 32.0 KB x 8 |
| L2 Cache | 512 KB x 8 |
| L3 Cache | 16.0 MB x 1 |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
| Inference Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | AMD Radeon RX 6800 XT |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
8975
1.68 KIPS |
|
|
Image Classification (F16)
|
100% |
8920
1.67 KIPS |
|
|
Image Classification (I8)
|
100% |
7993
1.50 KIPS |
|
|
Image Segmentation (F32)
|
100% |
7886
131.7 IPS |
|
|
Image Segmentation (F16)
|
100% |
8465
141.4 IPS |
|
|
Image Segmentation (I8)
|
98% |
8067
134.7 IPS |
|
|
Pose Estimation (F32)
|
100% |
179349
217.2 IPS |
|
|
Pose Estimation (F16)
|
100% |
180100
218.1 IPS |
|
|
Pose Estimation (I8)
|
100% |
147150
178.2 IPS |
|
|
Object Detection (F32)
|
100% |
2413
180.1 IPS |
|
|
Object Detection (F16)
|
100% |
2425
181.1 IPS |
|
|
Object Detection (I8)
|
56% |
2112
157.7 IPS |
|
|
Face Detection (F32)
|
100% |
25835
307.2 IPS |
|
|
Face Detection (F16)
|
100% |
24396
290.1 IPS |
|
|
Face Detection (I8)
|
89% |
21822
259.5 IPS |
|
|
Depth Estimation (F32)
|
100% |
31390
243.4 IPS |
|
|
Depth Estimation (F16)
|
100% |
31194
241.9 IPS |
|
|
Depth Estimation (I8)
|
95% |
24030
186.4 IPS |
|
|
Style Transfer (F32)
|
100% |
123507
162.5 IPS |
|
|
Style Transfer (F16)
|
100% |
123462
162.4 IPS |
|
|
Style Transfer (I8)
|
98% |
115553
152.0 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
10048
358.8 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
10105
360.9 IPS |
|
|
Image Super-Resolution (I8)
|
99% |
8665
309.5 IPS |
|
|
Text Classification (F32)
|
100% |
3061
4.40 KIPS |
|
|
Text Classification (F16)
|
100% |
3062
4.40 KIPS |
|
|
Text Classification (I8)
|
98% |
2108
3.03 KIPS |
|
|
Machine Translation (F32)
|
100% |
3470
63.9 IPS |
|
|
Machine Translation (F16)
|
100% |
3455
63.6 IPS |
|
|
Machine Translation (I8)
|
70% |
2569
47.3 IPS |
