B550M Pro4
Geekbench ML Score
16388
ONNX DirectML Inference Score
Geekbench ML 0.6.0 for Windows AVX2
Result Information
| Upload Date | August 28 2024 08:15 PM |
| Views | 2 |
System Information
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | B550M Pro4 |
| Motherboard | ASRock B550M Pro4 |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 7 5700X |
| Topology | 1 Processor, 8 Cores, 16 Threads |
| Identifier | AuthenticAMD Family 25 Model 33 Stepping 2 |
| Base Frequency | 3.40 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 | 32.0 MB x 1 |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
| Inference Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce RTX 3080 |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
7925
1.48 KIPS |
|
|
Image Classification (F16)
|
100% |
8471
1.59 KIPS |
|
|
Image Classification (I8)
|
100% |
5650
1.06 KIPS |
|
|
Image Segmentation (F32)
|
100% |
13152
219.7 IPS |
|
|
Image Segmentation (F16)
|
100% |
11654
194.6 IPS |
|
|
Image Segmentation (I8)
|
98% |
9629
160.8 IPS |
|
|
Pose Estimation (F32)
|
100% |
121487
147.1 IPS |
|
|
Pose Estimation (F16)
|
100% |
122198
148.0 IPS |
|
|
Pose Estimation (I8)
|
100% |
95395
115.5 IPS |
|
|
Object Detection (F32)
|
100% |
5606
418.5 IPS |
|
|
Object Detection (F16)
|
100% |
5447
406.6 IPS |
|
|
Object Detection (I8)
|
56% |
4489
335.1 IPS |
|
|
Face Detection (F32)
|
100% |
25414
302.2 IPS |
|
|
Face Detection (F16)
|
100% |
26755
318.1 IPS |
|
|
Face Detection (I8)
|
89% |
18082
215.0 IPS |
|
|
Depth Estimation (F32)
|
100% |
55433
429.9 IPS |
|
|
Depth Estimation (F16)
|
100% |
49307
382.4 IPS |
|
|
Depth Estimation (I8)
|
94% |
31727
246.0 IPS |
|
|
Style Transfer (F32)
|
100% |
241564
317.8 IPS |
|
|
Style Transfer (F16)
|
100% |
219754
289.1 IPS |
|
|
Style Transfer (I8)
|
98% |
159613
210.0 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
32274
1.15 KIPS |
|
|
Image Super-Resolution (F16)
|
100% |
33096
1.18 KIPS |
|
|
Image Super-Resolution (I8)
|
99% |
18372
656.1 IPS |
|
|
Text Classification (F32)
|
100% |
2306
3.31 KIPS |
|
|
Text Classification (F16)
|
100% |
2331
3.35 KIPS |
|
|
Text Classification (I8)
|
98% |
1172
1.68 KIPS |
|
|
Machine Translation (F32)
|
100% |
3525
64.9 IPS |
|
|
Machine Translation (F16)
|
100% |
3874
71.3 IPS |
|
|
Machine Translation (I8)
|
70% |
1648
30.3 IPS |
