Z590 PG Velocita
Geekbench ML Score
7977
ONNX DirectML Inference Score
Geekbench ML 0.6.0 for Windows AVX2
Result Information
| Upload Date | October 13 2024 10:22 AM |
| Views | 2 |
System Information
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | Z590 PG Velocita |
| Motherboard | ASRock Z590 PG Velocita |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | Intel Core i5-11600K |
| Topology | 1 Processor, 6 Cores, 12 Threads |
| Identifier | GenuineIntel Family 6 Model 167 Stepping 1 |
| Base Frequency | 3.91 GHz |
| Cluster 1 | 6 Cores |
| L1 Instruction Cache | 32.0 KB x 6 |
| L1 Data Cache | 48.0 KB x 6 |
| L2 Cache | 512 KB x 6 |
| L3 Cache | 12.0 MB x 1 |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
| Inference Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | Intel(R) Arc(TM) A580 Graphics |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
3967
742.4 IPS |
|
|
Image Classification (F16)
|
100% |
4052
758.3 IPS |
|
|
Image Classification (I8)
|
99% |
3168
592.8 IPS |
|
|
Image Segmentation (F32)
|
100% |
5801
96.9 IPS |
|
|
Image Segmentation (F16)
|
100% |
5678
94.8 IPS |
|
|
Image Segmentation (I8)
|
98% |
4700
78.5 IPS |
|
|
Pose Estimation (F32)
|
100% |
60526
73.3 IPS |
|
|
Pose Estimation (F16)
|
100% |
62083
75.2 IPS |
|
|
Pose Estimation (I8)
|
100% |
50154
60.7 IPS |
|
|
Object Detection (F32)
|
100% |
3530
263.5 IPS |
|
|
Object Detection (F16)
|
100% |
3536
264.0 IPS |
|
|
Object Detection (I8)
|
60% |
3249
242.6 IPS |
|
|
Face Detection (F32)
|
100% |
11992
142.6 IPS |
|
|
Face Detection (F16)
|
100% |
12123
144.1 IPS |
|
|
Face Detection (I8)
|
88% |
9556
113.6 IPS |
|
|
Depth Estimation (F32)
|
100% |
24909
193.2 IPS |
|
|
Depth Estimation (F16)
|
100% |
24117
187.0 IPS |
|
|
Depth Estimation (I8)
|
95% |
20588
159.7 IPS |
|
|
Style Transfer (F32)
|
100% |
134562
177.0 IPS |
|
|
Style Transfer (F16)
|
100% |
130589
171.8 IPS |
|
|
Style Transfer (I8)
|
98% |
101632
133.7 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
13317
475.6 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
13925
497.3 IPS |
|
|
Image Super-Resolution (I8)
|
99% |
10616
379.1 IPS |
|
|
Text Classification (F32)
|
90% |
664
953.9 IPS |
|
|
Text Classification (F16)
|
90% |
622
894.3 IPS |
|
|
Text Classification (I8)
|
90% |
528
759.0 IPS |
|
|
Machine Translation (F32)
|
100% |
1266
23.3 IPS |
|
|
Machine Translation (F16)
|
100% |
1292
23.8 IPS |
|
|
Machine Translation (I8)
|
70% |
876
16.1 IPS |
