X570 PG Velocita
Geekbench ML Score
14572
ONNX DirectML Inference Score
Geekbench ML 0.6.0 for Windows AVX2
Result Information
| User | navtiidia |
| Upload Date | August 01 2024 08:27 PM |
| Views | 7 |
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 | DirectML |
| Device | NVIDIA GeForce RTX 2080 Ti |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
7262
1.36 KIPS |
|
|
Image Classification (F16)
|
100% |
7271
1.36 KIPS |
|
|
Image Classification (I8)
|
100% |
4867
910.7 IPS |
|
|
Image Segmentation (F32)
|
100% |
11399
190.4 IPS |
|
|
Image Segmentation (F16)
|
100% |
11519
192.4 IPS |
|
|
Image Segmentation (I8)
|
98% |
8887
148.4 IPS |
|
|
Pose Estimation (F32)
|
100% |
102159
123.7 IPS |
|
|
Pose Estimation (F16)
|
100% |
102406
124.0 IPS |
|
|
Pose Estimation (I8)
|
100% |
81757
99.0 IPS |
|
|
Object Detection (F32)
|
100% |
5322
397.3 IPS |
|
|
Object Detection (F16)
|
100% |
5208
388.8 IPS |
|
|
Object Detection (I8)
|
63% |
4263
318.2 IPS |
|
|
Face Detection (F32)
|
100% |
21059
250.4 IPS |
|
|
Face Detection (F16)
|
100% |
21175
251.8 IPS |
|
|
Face Detection (I8)
|
89% |
15184
180.5 IPS |
|
|
Depth Estimation (F32)
|
100% |
47020
364.6 IPS |
|
|
Depth Estimation (F16)
|
100% |
47046
364.8 IPS |
|
|
Depth Estimation (I8)
|
94% |
30510
236.6 IPS |
|
|
Style Transfer (F32)
|
100% |
198150
260.6 IPS |
|
|
Style Transfer (F16)
|
100% |
195056
256.6 IPS |
|
|
Style Transfer (I8)
|
98% |
148270
195.0 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
29405
1.05 KIPS |
|
|
Image Super-Resolution (F16)
|
100% |
30602
1.09 KIPS |
|
|
Image Super-Resolution (I8)
|
99% |
17234
615.5 IPS |
|
|
Text Classification (F32)
|
100% |
1841
2.65 KIPS |
|
|
Text Classification (F16)
|
100% |
1840
2.64 KIPS |
|
|
Text Classification (I8)
|
98% |
1079
1.55 KIPS |
|
|
Machine Translation (F32)
|
100% |
3401
62.6 IPS |
|
|
Machine Translation (F16)
|
100% |
3406
62.7 IPS |
|
|
Machine Translation (I8)
|
70% |
1544
28.4 IPS |
