ASRock X670E PG Lightning
Geekbench ML Score
4681
ONNX CPU Inference Score
Geekbench ML 0.6.0 for Windows AVX2
Result Information
| User | Athanasius |
| Upload Date | August 15 2024 06:30 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 | CPU |
| Device | Default |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
2590
484.6 IPS |
|
|
Image Classification (F16)
|
100% |
2836
530.7 IPS |
|
|
Image Classification (I8)
|
99% |
6066
1.14 KIPS |
|
|
Image Segmentation (F32)
|
100% |
2363
39.5 IPS |
|
|
Image Segmentation (F16)
|
100% |
2086
34.8 IPS |
|
|
Image Segmentation (I8)
|
98% |
2662
44.5 IPS |
|
|
Pose Estimation (F32)
|
100% |
8439
10.2 IPS |
|
|
Pose Estimation (F16)
|
100% |
8476
10.3 IPS |
|
|
Pose Estimation (I8)
|
100% |
29074
35.2 IPS |
|
|
Object Detection (F32)
|
100% |
2597
193.9 IPS |
|
|
Object Detection (F16)
|
100% |
2628
196.2 IPS |
|
|
Object Detection (I8)
|
62% |
2661
198.7 IPS |
|
|
Face Detection (F32)
|
100% |
4183
49.7 IPS |
|
|
Face Detection (F16)
|
100% |
3998
47.5 IPS |
|
|
Face Detection (I8)
|
89% |
5858
69.7 IPS |
|
|
Depth Estimation (F32)
|
100% |
10026
77.7 IPS |
|
|
Depth Estimation (F16)
|
100% |
7267
56.4 IPS |
|
|
Depth Estimation (I8)
|
96% |
18409
142.8 IPS |
|
|
Style Transfer (F32)
|
100% |
20223
26.6 IPS |
|
|
Style Transfer (F16)
|
100% |
17602
23.2 IPS |
|
|
Style Transfer (I8)
|
98% |
29227
38.4 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
4020
143.6 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
3616
129.1 IPS |
|
|
Image Super-Resolution (I8)
|
99% |
4428
158.1 IPS |
|
|
Text Classification (F32)
|
100% |
2312
3.32 KIPS |
|
|
Text Classification (F16)
|
100% |
2381
3.42 KIPS |
|
|
Text Classification (I8)
|
98% |
423
608.3 IPS |
|
|
Machine Translation (F32)
|
100% |
2727
50.2 IPS |
|
|
Machine Translation (F16)
|
100% |
2882
53.0 IPS |
|
|
Machine Translation (I8)
|
67% |
3627
66.8 IPS |
