Z590 PG Velocita
Geekbench ML Score
12122
ONNX DirectML Inference Score
Geekbench ML 0.6.0 for Windows AVX2
Result Information
| Upload Date | October 13 2024 10:19 AM |
| Views | 3 |
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 | NVIDIA GeForce RTX 4060 |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
4953
926.9 IPS |
|
|
Image Classification (F16)
|
100% |
5544
1.04 KIPS |
|
|
Image Classification (I8)
|
100% |
5009
937.2 IPS |
|
|
Image Segmentation (F32)
|
100% |
9373
156.5 IPS |
|
|
Image Segmentation (F16)
|
100% |
9288
155.1 IPS |
|
|
Image Segmentation (I8)
|
98% |
8086
135.0 IPS |
|
|
Pose Estimation (F32)
|
100% |
76532
92.7 IPS |
|
|
Pose Estimation (F16)
|
100% |
76987
93.2 IPS |
|
|
Pose Estimation (I8)
|
100% |
71492
86.6 IPS |
|
|
Object Detection (F32)
|
100% |
4238
316.4 IPS |
|
|
Object Detection (F16)
|
100% |
4098
305.9 IPS |
|
|
Object Detection (I8)
|
61% |
3807
284.2 IPS |
|
|
Face Detection (F32)
|
100% |
15552
184.9 IPS |
|
|
Face Detection (F16)
|
100% |
15710
186.8 IPS |
|
|
Face Detection (I8)
|
89% |
13209
157.1 IPS |
|
|
Depth Estimation (F32)
|
100% |
31980
248.0 IPS |
|
|
Depth Estimation (F16)
|
100% |
32507
252.1 IPS |
|
|
Depth Estimation (I8)
|
94% |
30714
238.2 IPS |
|
|
Style Transfer (F32)
|
100% |
134188
176.5 IPS |
|
|
Style Transfer (F16)
|
100% |
122269
160.8 IPS |
|
|
Style Transfer (I8)
|
98% |
107252
141.1 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
22197
792.7 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
22984
820.8 IPS |
|
|
Image Super-Resolution (I8)
|
99% |
17186
613.8 IPS |
|
|
Text Classification (F32)
|
100% |
2211
3.18 KIPS |
|
|
Text Classification (F16)
|
100% |
2109
3.03 KIPS |
|
|
Text Classification (I8)
|
98% |
1360
1.95 KIPS |
|
|
Machine Translation (F32)
|
100% |
2725
50.1 IPS |
|
|
Machine Translation (F16)
|
100% |
2782
51.2 IPS |
|
|
Machine Translation (I8)
|
70% |
1562
28.8 IPS |
