Z590 PG Velocita
Geekbench ML Score
1144
ONNX DirectML Inference Score
Geekbench ML 0.6.0 for Windows AVX2
Result Information
| Upload Date | October 13 2024 10:30 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) UHD Graphics 750 |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
532
99.5 IPS |
|
|
Image Classification (F16)
|
100% |
535
100.2 IPS |
|
|
Image Classification (I8)
|
100% |
432
80.9 IPS |
|
|
Image Segmentation (F32)
|
100% |
800
13.4 IPS |
|
|
Image Segmentation (F16)
|
100% |
808
13.5 IPS |
|
|
Image Segmentation (I8)
|
98% |
607
10.1 IPS |
|
|
Pose Estimation (F32)
|
100% |
4301
5.21 IPS |
|
|
Pose Estimation (F16)
|
100% |
4309
5.22 IPS |
|
|
Pose Estimation (I8)
|
100% |
2861
3.46 IPS |
|
|
Object Detection (F32)
|
100% |
587
43.8 IPS |
|
|
Object Detection (F16)
|
100% |
572
42.7 IPS |
|
|
Object Detection (I8)
|
54% |
485
36.2 IPS |
|
|
Face Detection (F32)
|
100% |
1172
13.9 IPS |
|
|
Face Detection (F16)
|
100% |
1171
13.9 IPS |
|
|
Face Detection (I8)
|
89% |
828
9.85 IPS |
|
|
Depth Estimation (F32)
|
100% |
2455
19.0 IPS |
|
|
Depth Estimation (F16)
|
100% |
2463
19.1 IPS |
|
|
Depth Estimation (I8)
|
95% |
1866
14.5 IPS |
|
|
Style Transfer (F32)
|
100% |
8750
11.5 IPS |
|
|
Style Transfer (F16)
|
100% |
8749
11.5 IPS |
|
|
Style Transfer (I8)
|
98% |
6505
8.56 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
1511
54.0 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
1522
54.4 IPS |
|
|
Image Super-Resolution (I8)
|
99% |
805
28.8 IPS |
|
|
Text Classification (F32)
|
100% |
588
844.9 IPS |
|
|
Text Classification (F16)
|
100% |
618
888.9 IPS |
|
|
Text Classification (I8)
|
98% |
313
449.7 IPS |
|
|
Machine Translation (F32)
|
100% |
551
10.1 IPS |
|
|
Machine Translation (F16)
|
100% |
553
10.2 IPS |
|
|
Machine Translation (I8)
|
70% |
334
6.14 IPS |
