ASRock Z790 PG Riptide
Geekbench ML Score
9091
ONNX DirectML Inference Score
Geekbench ML 0.6.0 for Windows AVX2
Result Information
| Upload Date | July 17 2024 06:25 PM |
| Views | 2 |
System Information
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | ASRock Z790 PG Riptide |
| Motherboard | ASRock Z790 PG Riptide |
| Power Plan | High performance |
| CPU Information | |
|---|---|
| Name | Intel Core i7-12700K |
| Topology | 1 Processor, 12 Cores, 20 Threads |
| Identifier | GenuineIntel Family 6 Model 151 Stepping 2 |
| Base Frequency | 3.60 GHz |
| Cluster 1 | 8 Cores |
| Cluster 2 | 4 Cores |
| L1 Instruction Cache | 32.0 KB x 10 |
| L1 Data Cache | 48.0 KB x 10 |
| L2 Cache | 1.25 MB x 2 |
| L3 Cache | 25.0 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% |
4666
873.1 IPS |
|
|
Image Classification (F16)
|
100% |
4638
868.0 IPS |
|
|
Image Classification (I8)
|
99% |
3985
745.7 IPS |
|
|
Image Segmentation (F32)
|
100% |
5567
93.0 IPS |
|
|
Image Segmentation (F16)
|
100% |
5267
88.0 IPS |
|
|
Image Segmentation (I8)
|
98% |
5070
84.7 IPS |
|
|
Pose Estimation (F32)
|
100% |
60929
73.8 IPS |
|
|
Pose Estimation (F16)
|
100% |
62035
75.1 IPS |
|
|
Pose Estimation (I8)
|
100% |
52064
63.0 IPS |
|
|
Object Detection (F32)
|
100% |
4329
323.2 IPS |
|
|
Object Detection (F16)
|
100% |
4364
325.8 IPS |
|
|
Object Detection (I8)
|
60% |
3955
295.3 IPS |
|
|
Face Detection (F32)
|
100% |
14059
167.2 IPS |
|
|
Face Detection (F16)
|
100% |
13851
164.7 IPS |
|
|
Face Detection (I8)
|
88% |
10803
128.4 IPS |
|
|
Depth Estimation (F32)
|
100% |
27401
212.5 IPS |
|
|
Depth Estimation (F16)
|
100% |
27779
215.4 IPS |
|
|
Depth Estimation (I8)
|
95% |
22634
175.5 IPS |
|
|
Style Transfer (F32)
|
100% |
147761
194.4 IPS |
|
|
Style Transfer (F16)
|
100% |
145317
191.2 IPS |
|
|
Style Transfer (I8)
|
98% |
113652
149.5 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
15586
556.6 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
15858
566.4 IPS |
|
|
Image Super-Resolution (I8)
|
99% |
11215
400.5 IPS |
|
|
Text Classification (F32)
|
90% |
757
1.09 KIPS |
|
|
Text Classification (F16)
|
90% |
758
1.09 KIPS |
|
|
Text Classification (I8)
|
90% |
577
829.8 IPS |
|
|
Machine Translation (F32)
|
100% |
1765
32.5 IPS |
|
|
Machine Translation (F16)
|
100% |
1777
32.7 IPS |
|
|
Machine Translation (I8)
|
70% |
1197
22.0 IPS |
