ASRock Z790 PG Lightning
Geekbench ML Score
9702
ONNX DirectML Inference Score
Geekbench ML 0.6.0 for Windows AVX2
Result Information
| Upload Date | August 23 2024 12:10 PM |
| Views | 6 |
System Information
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | ASRock Z790 PG Lightning |
| Motherboard | ASRock Z790 PG Lightning |
| Power Plan | High performance |
| CPU Information | |
|---|---|
| Name | Intel Core i5-13600K |
| Topology | 1 Processor, 14 Cores, 20 Threads |
| Identifier | GenuineIntel Family 6 Model 183 Stepping 1 |
| Base Frequency | 3.50 GHz |
| Cluster 1 | 6 Cores |
| Cluster 2 | 8 Cores |
| L1 Instruction Cache | 32.0 KB x 10 |
| L1 Data Cache | 48.0 KB x 10 |
| L2 Cache | 2.00 MB x 2 |
| L3 Cache | 24.0 MB x 1 |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
| Inference Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | Intel(R) Arc(TM) A750 Graphics |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
4823
902.5 IPS |
|
|
Image Classification (F16)
|
100% |
4864
910.2 IPS |
|
|
Image Classification (I8)
|
99% |
4029
753.9 IPS |
|
|
Image Segmentation (F32)
|
100% |
7008
117.0 IPS |
|
|
Image Segmentation (F16)
|
100% |
7015
117.2 IPS |
|
|
Image Segmentation (I8)
|
98% |
6201
103.6 IPS |
|
|
Pose Estimation (F32)
|
100% |
70077
84.9 IPS |
|
|
Pose Estimation (F16)
|
100% |
70088
84.9 IPS |
|
|
Pose Estimation (I8)
|
100% |
57202
69.3 IPS |
|
|
Object Detection (F32)
|
100% |
4441
331.6 IPS |
|
|
Object Detection (F16)
|
100% |
4443
331.7 IPS |
|
|
Object Detection (I8)
|
60% |
4041
301.7 IPS |
|
|
Face Detection (F32)
|
100% |
15196
180.7 IPS |
|
|
Face Detection (F16)
|
100% |
15356
182.6 IPS |
|
|
Face Detection (I8)
|
88% |
11458
136.2 IPS |
|
|
Depth Estimation (F32)
|
100% |
27644
214.4 IPS |
|
|
Depth Estimation (F16)
|
100% |
27746
215.2 IPS |
|
|
Depth Estimation (I8)
|
95% |
22727
176.2 IPS |
|
|
Style Transfer (F32)
|
100% |
151204
198.9 IPS |
|
|
Style Transfer (F16)
|
100% |
151215
198.9 IPS |
|
|
Style Transfer (I8)
|
98% |
116047
152.7 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
15740
562.1 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
15857
566.3 IPS |
|
|
Image Super-Resolution (I8)
|
99% |
11826
422.4 IPS |
|
|
Text Classification (F32)
|
90% |
774
1.11 KIPS |
|
|
Text Classification (F16)
|
90% |
762
1.09 KIPS |
|
|
Text Classification (I8)
|
90% |
589
847.0 IPS |
|
|
Machine Translation (F32)
|
100% |
1974
36.3 IPS |
|
|
Machine Translation (F16)
|
100% |
1989
36.6 IPS |
|
|
Machine Translation (I8)
|
70% |
1257
23.1 IPS |
