B550M Pro4
Geekbench ML Score
16723
ONNX DirectML Inference Score
Geekbench ML 0.6.0 for Windows AVX2
Result Information
| Upload Date | August 28 2024 08:54 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% |
8752
1.64 KIPS |
|
|
Image Classification (F16)
|
100% |
8903
1.67 KIPS |
|
|
Image Classification (I8)
|
100% |
5840
1.09 KIPS |
|
|
Image Segmentation (F32)
|
100% |
12328
205.9 IPS |
|
|
Image Segmentation (F16)
|
100% |
13261
221.5 IPS |
|
|
Image Segmentation (I8)
|
98% |
9785
163.4 IPS |
|
|
Pose Estimation (F32)
|
100% |
122327
148.1 IPS |
|
|
Pose Estimation (F16)
|
100% |
122283
148.1 IPS |
|
|
Pose Estimation (I8)
|
100% |
95332
115.4 IPS |
|
|
Object Detection (F32)
|
100% |
5671
423.4 IPS |
|
|
Object Detection (F16)
|
100% |
5676
423.7 IPS |
|
|
Object Detection (I8)
|
56% |
4490
335.2 IPS |
|
|
Face Detection (F32)
|
100% |
26782
318.4 IPS |
|
|
Face Detection (F16)
|
100% |
26850
319.2 IPS |
|
|
Face Detection (I8)
|
89% |
18454
219.4 IPS |
|
|
Depth Estimation (F32)
|
100% |
55387
429.5 IPS |
|
|
Depth Estimation (F16)
|
100% |
49947
387.3 IPS |
|
|
Depth Estimation (I8)
|
94% |
33492
259.7 IPS |
|
|
Style Transfer (F32)
|
100% |
241717
318.0 IPS |
|
|
Style Transfer (F16)
|
100% |
212976
280.2 IPS |
|
|
Style Transfer (I8)
|
98% |
159370
209.6 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
32940
1.18 KIPS |
|
|
Image Super-Resolution (F16)
|
100% |
33108
1.18 KIPS |
|
|
Image Super-Resolution (I8)
|
99% |
18542
662.2 IPS |
|
|
Text Classification (F32)
|
100% |
2334
3.35 KIPS |
|
|
Text Classification (F16)
|
100% |
2327
3.34 KIPS |
|
|
Text Classification (I8)
|
98% |
1212
1.74 KIPS |
|
|
Machine Translation (F32)
|
100% |
3899
71.8 IPS |
|
|
Machine Translation (F16)
|
100% |
3927
72.3 IPS |
|
|
Machine Translation (I8)
|
70% |
1624
29.9 IPS |
