B450M-HDV R4.0
Geekbench ML Score
11744
ONNX DirectML Inference Score
Geekbench ML 0.6.0 for Windows AVX2
Result Information
| Upload Date | February 11 2025 10:29 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 2700 |
| Topology | 1 Processor, 8 Cores, 16 Threads |
| Identifier | AuthenticAMD Family 23 Model 8 Stepping 2 |
| Base Frequency | 3.20 GHz |
| Cluster 1 | 8 Cores |
| L1 Instruction Cache | 64.0 KB x 8 |
| L1 Data Cache | 32.0 KB x 8 |
| L2 Cache | 512 KB x 8 |
| L3 Cache | 8.00 MB x 2 |
| 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% |
6984
1.31 KIPS |
|
|
Image Classification (F16)
|
100% |
7227
1.35 KIPS |
|
|
Image Classification (I8)
|
100% |
7612
1.42 KIPS |
|
|
Image Segmentation (F32)
|
100% |
7018
117.2 IPS |
|
|
Image Segmentation (F16)
|
100% |
7471
124.8 IPS |
|
|
Image Segmentation (I8)
|
98% |
6790
113.4 IPS |
|
|
Pose Estimation (F32)
|
100% |
161844
196.0 IPS |
|
|
Pose Estimation (F16)
|
100% |
164389
199.1 IPS |
|
|
Pose Estimation (I8)
|
100% |
147611
178.8 IPS |
|
|
Object Detection (F32)
|
100% |
2219
165.7 IPS |
|
|
Object Detection (F16)
|
100% |
2224
166.0 IPS |
|
|
Object Detection (I8)
|
56% |
1993
148.8 IPS |
|
|
Face Detection (F32)
|
100% |
22552
268.2 IPS |
|
|
Face Detection (F16)
|
100% |
16789
199.6 IPS |
|
|
Face Detection (I8)
|
89% |
19321
229.7 IPS |
|
|
Depth Estimation (F32)
|
100% |
27410
212.6 IPS |
|
|
Depth Estimation (F16)
|
100% |
27420
212.6 IPS |
|
|
Depth Estimation (I8)
|
95% |
26591
206.2 IPS |
|
|
Style Transfer (F32)
|
100% |
117656
154.8 IPS |
|
|
Style Transfer (F16)
|
100% |
122697
161.4 IPS |
|
|
Style Transfer (I8)
|
98% |
113578
149.4 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
9906
353.8 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
9814
350.5 IPS |
|
|
Image Super-Resolution (I8)
|
99% |
8246
294.5 IPS |
|
|
Text Classification (F32)
|
100% |
2374
3.41 KIPS |
|
|
Text Classification (F16)
|
100% |
2019
2.90 KIPS |
|
|
Text Classification (I8)
|
98% |
1830
2.63 KIPS |
|
|
Machine Translation (F32)
|
100% |
2632
48.4 IPS |
|
|
Machine Translation (F16)
|
100% |
2179
40.1 IPS |
|
|
Machine Translation (I8)
|
70% |
2438
44.9 IPS |
