A520M-ITX/ac
Geekbench ML Score
18221
ONNX DirectML Inference Score
Geekbench ML 0.6.0 for Windows AVX2
Result Information
| Upload Date | August 16 2024 10:38 PM |
| Views | 3 |
System Information
| System Information | |
|---|---|
| Operating System | Windows 11 Pro (64-bit) |
| Model | A520M-ITX/ac |
| Motherboard | ASRock A520M-ITX/ac |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 5 5600 |
| Topology | 1 Processor, 6 Cores, 12 Threads |
| Identifier | AuthenticAMD Family 25 Model 33 Stepping 0 |
| 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 | 32.00 GB |
| Inference Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce RTX 4070 |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
8371
1.57 KIPS |
|
|
Image Classification (F16)
|
100% |
8277
1.55 KIPS |
|
|
Image Classification (I8)
|
100% |
7305
1.37 KIPS |
|
|
Image Segmentation (F32)
|
100% |
13355
223.0 IPS |
|
|
Image Segmentation (F16)
|
100% |
13107
218.9 IPS |
|
|
Image Segmentation (I8)
|
98% |
12137
202.7 IPS |
|
|
Pose Estimation (F32)
|
100% |
131728
159.5 IPS |
|
|
Pose Estimation (F16)
|
100% |
133184
161.3 IPS |
|
|
Pose Estimation (I8)
|
100% |
119160
144.3 IPS |
|
|
Object Detection (F32)
|
100% |
5291
395.0 IPS |
|
|
Object Detection (F16)
|
100% |
5389
402.3 IPS |
|
|
Object Detection (I8)
|
63% |
4740
353.9 IPS |
|
|
Face Detection (F32)
|
100% |
25399
302.0 IPS |
|
|
Face Detection (F16)
|
100% |
26031
309.5 IPS |
|
|
Face Detection (I8)
|
89% |
21875
260.1 IPS |
|
|
Depth Estimation (F32)
|
100% |
51826
401.9 IPS |
|
|
Depth Estimation (F16)
|
100% |
50478
391.5 IPS |
|
|
Depth Estimation (I8)
|
95% |
41725
323.6 IPS |
|
|
Style Transfer (F32)
|
100% |
220925
290.6 IPS |
|
|
Style Transfer (F16)
|
100% |
218263
287.1 IPS |
|
|
Style Transfer (I8)
|
98% |
197580
259.9 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
37008
1.32 KIPS |
|
|
Image Super-Resolution (F16)
|
100% |
36942
1.32 KIPS |
|
|
Image Super-Resolution (I8)
|
99% |
27388
978.1 IPS |
|
|
Text Classification (F32)
|
100% |
2733
3.93 KIPS |
|
|
Text Classification (F16)
|
100% |
2739
3.94 KIPS |
|
|
Text Classification (I8)
|
98% |
1749
2.51 KIPS |
|
|
Machine Translation (F32)
|
100% |
3739
68.8 IPS |
|
|
Machine Translation (F16)
|
100% |
3649
67.2 IPS |
|
|
Machine Translation (I8)
|
70% |
2149
39.5 IPS |
