ASRock X670E PG Lightning
Geekbench ML Score
1733
ONNX DirectML Inference Score
Geekbench ML 0.6.0 for Windows AVX2
Result Information
| User | Athanasius |
| Upload Date | August 15 2024 06:35 PM |
| Views | 1 |
System Information
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | ASRock X670E PG Lightning |
| Motherboard | ASRock X670E PG Lightning |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 7 7700X |
| Topology | 1 Processor, 8 Cores, 16 Threads |
| Identifier | AuthenticAMD Family 25 Model 97 Stepping 2 |
| Base Frequency | 4.50 GHz |
| Cluster 1 | 8 Cores |
| L1 Instruction Cache | 32.0 KB x 8 |
| L1 Data Cache | 32.0 KB x 8 |
| L2 Cache | 1.00 MB x 8 |
| L3 Cache | 32.0 MB x 1 |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
| Inference Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | AMD Radeon(TM) Graphics |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
613
114.7 IPS |
|
|
Image Classification (F16)
|
100% |
612
114.6 IPS |
|
|
Image Classification (I8)
|
100% |
577
108.0 IPS |
|
|
Image Segmentation (F32)
|
100% |
1153
19.3 IPS |
|
|
Image Segmentation (F16)
|
100% |
1148
19.2 IPS |
|
|
Image Segmentation (I8)
|
98% |
991
16.5 IPS |
|
|
Pose Estimation (F32)
|
100% |
6327
7.66 IPS |
|
|
Pose Estimation (F16)
|
100% |
6380
7.73 IPS |
|
|
Pose Estimation (I8)
|
100% |
5688
6.89 IPS |
|
|
Object Detection (F32)
|
100% |
669
49.9 IPS |
|
|
Object Detection (F16)
|
100% |
666
49.7 IPS |
|
|
Object Detection (I8)
|
62% |
623
46.5 IPS |
|
|
Face Detection (F32)
|
100% |
1781
21.2 IPS |
|
|
Face Detection (F16)
|
100% |
1749
20.8 IPS |
|
|
Face Detection (I8)
|
89% |
1538
18.3 IPS |
|
|
Depth Estimation (F32)
|
100% |
3577
27.7 IPS |
|
|
Depth Estimation (F16)
|
100% |
3573
27.7 IPS |
|
|
Depth Estimation (I8)
|
94% |
3240
25.1 IPS |
|
|
Style Transfer (F32)
|
100% |
11002
14.5 IPS |
|
|
Style Transfer (F16)
|
100% |
10989
14.5 IPS |
|
|
Style Transfer (I8)
|
98% |
9781
12.9 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
2826
100.9 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
2811
100.4 IPS |
|
|
Image Super-Resolution (I8)
|
99% |
2158
77.1 IPS |
|
|
Text Classification (F32)
|
100% |
676
971.6 IPS |
|
|
Text Classification (F16)
|
100% |
675
970.2 IPS |
|
|
Text Classification (I8)
|
98% |
486
698.9 IPS |
|
|
Machine Translation (F32)
|
100% |
1184
21.8 IPS |
|
|
Machine Translation (F16)
|
100% |
1187
21.8 IPS |
|
|
Machine Translation (I8)
|
70% |
654
12.0 IPS |
