Z590 PG Velocita
Geekbench ML Score
3078
ONNX CPU Inference Score
Geekbench ML 0.6.0 for Windows AVX2
Result Information
| Upload Date | October 13 2024 10:32 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 | CPU |
| Device | Default |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
1756
328.6 IPS |
|
|
Image Classification (F16)
|
100% |
1692
316.6 IPS |
|
|
Image Classification (I8)
|
99% |
3451
645.8 IPS |
|
|
Image Segmentation (F32)
|
100% |
1144
19.1 IPS |
|
|
Image Segmentation (F16)
|
100% |
1354
22.6 IPS |
|
|
Image Segmentation (I8)
|
98% |
1954
32.6 IPS |
|
|
Pose Estimation (F32)
|
100% |
5358
6.49 IPS |
|
|
Pose Estimation (F16)
|
100% |
4796
5.81 IPS |
|
|
Pose Estimation (I8)
|
100% |
19597
23.7 IPS |
|
|
Object Detection (F32)
|
100% |
1573
117.4 IPS |
|
|
Object Detection (F16)
|
100% |
1566
116.9 IPS |
|
|
Object Detection (I8)
|
62% |
1762
131.5 IPS |
|
|
Face Detection (F32)
|
100% |
2300
27.3 IPS |
|
|
Face Detection (F16)
|
100% |
2332
27.7 IPS |
|
|
Face Detection (I8)
|
89% |
4188
49.8 IPS |
|
|
Depth Estimation (F32)
|
100% |
6117
47.4 IPS |
|
|
Depth Estimation (F16)
|
100% |
5559
43.1 IPS |
|
|
Depth Estimation (I8)
|
96% |
14455
112.1 IPS |
|
|
Style Transfer (F32)
|
100% |
11135
14.6 IPS |
|
|
Style Transfer (F16)
|
100% |
11641
15.3 IPS |
|
|
Style Transfer (I8)
|
98% |
18435
24.2 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
2836
101.3 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
2832
101.1 IPS |
|
|
Image Super-Resolution (I8)
|
99% |
4454
159.1 IPS |
|
|
Text Classification (F32)
|
100% |
1775
2.55 KIPS |
|
|
Text Classification (F16)
|
100% |
1318
1.89 KIPS |
|
|
Text Classification (I8)
|
98% |
483
693.7 IPS |
|
|
Machine Translation (F32)
|
100% |
1682
31.0 IPS |
|
|
Machine Translation (F16)
|
100% |
1700
31.3 IPS |
|
|
Machine Translation (I8)
|
67% |
2157
39.7 IPS |
