X570 PG Velocita
Geekbench ML Score
3812
ONNX CPU Inference Score
Geekbench ML 0.6.0 for Windows AVX2
Result Information
| User | navtiidia |
| Upload Date | August 01 2024 08:32 PM |
| Views | 5 |
System Information
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro for Workstations Insider Preview (64-bit) |
| Model | X570 PG Velocita |
| Motherboard | ASRock X570 PG Velocita |
| Power Plan | High performance |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 9 5900X |
| Topology | 1 Processor, 12 Cores, 24 Threads |
| Identifier | AuthenticAMD Family 25 Model 33 Stepping 0 |
| Base Frequency | 3.70 GHz |
| Cluster 1 | 12 Cores |
| L1 Instruction Cache | 32.0 KB x 12 |
| L1 Data Cache | 32.0 KB x 12 |
| L2 Cache | 512 KB x 12 |
| L3 Cache | 32.0 MB x 2 |
| Memory Information | |
|---|---|
| Size | 128.00 GB |
| Inference Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Default |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
1509
282.3 IPS |
|
|
Image Classification (F16)
|
100% |
1643
307.5 IPS |
|
|
Image Classification (I8)
|
97% |
3466
648.5 IPS |
|
|
Image Segmentation (F32)
|
100% |
1955
32.6 IPS |
|
|
Image Segmentation (F16)
|
100% |
1960
32.7 IPS |
|
|
Image Segmentation (I8)
|
97% |
2842
47.5 IPS |
|
|
Pose Estimation (F32)
|
100% |
9397
11.4 IPS |
|
|
Pose Estimation (F16)
|
100% |
9351
11.3 IPS |
|
|
Pose Estimation (I8)
|
100% |
17749
21.5 IPS |
|
|
Object Detection (F32)
|
100% |
1808
135.0 IPS |
|
|
Object Detection (F16)
|
100% |
1824
136.2 IPS |
|
|
Object Detection (I8)
|
60% |
1681
125.5 IPS |
|
|
Face Detection (F32)
|
100% |
3158
37.5 IPS |
|
|
Face Detection (F16)
|
100% |
3176
37.8 IPS |
|
|
Face Detection (I8)
|
87% |
4320
51.4 IPS |
|
|
Depth Estimation (F32)
|
100% |
8105
62.9 IPS |
|
|
Depth Estimation (F16)
|
100% |
8104
62.8 IPS |
|
|
Depth Estimation (I8)
|
74% |
13172
102.2 IPS |
|
|
Style Transfer (F32)
|
100% |
20282
26.7 IPS |
|
|
Style Transfer (F16)
|
100% |
20171
26.5 IPS |
|
|
Style Transfer (I8)
|
85% |
20228
26.6 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
3141
112.2 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
3158
112.8 IPS |
|
|
Image Super-Resolution (I8)
|
97% |
3717
132.8 IPS |
|
|
Text Classification (F32)
|
100% |
1115
1.60 KIPS |
|
|
Text Classification (F16)
|
100% |
1407
2.02 KIPS |
|
|
Text Classification (I8)
|
94% |
1061
1.52 KIPS |
|
|
Machine Translation (F32)
|
100% |
2365
43.5 IPS |
|
|
Machine Translation (F16)
|
100% |
2424
44.6 IPS |
|
|
Machine Translation (I8)
|
67% |
3083
56.7 IPS |
