ASRock Z790 PG Lightning
Geekbench ML Score
10410
ONNX DirectML Inference Score
Geekbench ML 0.6.0 for Windows AVX2
Result Information
| User | nimblebits |
| Upload Date | September 10 2024 09:58 AM |
| Views | 2 |
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) A770 Graphics |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
5113
956.8 IPS |
|
|
Image Classification (F16)
|
100% |
5105
955.3 IPS |
|
|
Image Classification (I8)
|
99% |
4270
799.0 IPS |
|
|
Image Segmentation (F32)
|
100% |
7518
125.6 IPS |
|
|
Image Segmentation (F16)
|
100% |
7447
124.4 IPS |
|
|
Image Segmentation (I8)
|
98% |
6712
112.1 IPS |
|
|
Pose Estimation (F32)
|
100% |
83520
101.1 IPS |
|
|
Pose Estimation (F16)
|
100% |
83228
100.8 IPS |
|
|
Pose Estimation (I8)
|
100% |
67458
81.7 IPS |
|
|
Object Detection (F32)
|
100% |
4602
343.6 IPS |
|
|
Object Detection (F16)
|
100% |
4641
346.5 IPS |
|
|
Object Detection (I8)
|
60% |
4249
317.2 IPS |
|
|
Face Detection (F32)
|
100% |
16211
192.7 IPS |
|
|
Face Detection (F16)
|
100% |
16231
193.0 IPS |
|
|
Face Detection (I8)
|
88% |
12171
144.7 IPS |
|
|
Depth Estimation (F32)
|
100% |
29599
229.5 IPS |
|
|
Depth Estimation (F16)
|
100% |
29441
228.3 IPS |
|
|
Depth Estimation (I8)
|
95% |
24790
192.2 IPS |
|
|
Style Transfer (F32)
|
100% |
171554
225.7 IPS |
|
|
Style Transfer (F16)
|
100% |
174383
229.4 IPS |
|
|
Style Transfer (I8)
|
98% |
131517
173.0 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
16880
602.8 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
16479
588.5 IPS |
|
|
Image Super-Resolution (I8)
|
99% |
12612
450.4 IPS |
|
|
Text Classification (F32)
|
90% |
794
1.14 KIPS |
|
|
Text Classification (F16)
|
90% |
771
1.11 KIPS |
|
|
Text Classification (I8)
|
90% |
595
855.3 IPS |
|
|
Machine Translation (F32)
|
100% |
2058
37.9 IPS |
|
|
Machine Translation (F16)
|
100% |
2023
37.2 IPS |
|
|
Machine Translation (I8)
|
70% |
1295
23.8 IPS |
