ASRock B650E PG Riptide WiFi
Geekbench ML Score
5699
ONNX CPU Inference Score
Geekbench ML 0.6.0 for Windows AVX2
Result Information
| Upload Date | January 21 2024 08:11 PM |
| Views | 7 |
System Information
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | ASRock B650E PG Riptide WiFi |
| Motherboard | ASRock B650E PG Riptide WiFi |
| Power Plan | AMD Ryzen Ultimate HighPower 11-v4 |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 7 7700X |
| Topology | 1 Processor, 8 Cores, 16 Threads |
| Identifier | AuthenticAMD Family 25 Model 97 Stepping 2 |
| Base Frequency | 5.65 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 | 64.00 GB |
| Inference Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Default |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
3105
581.0 IPS |
|
|
Image Classification (F16)
|
100% |
3022
565.5 IPS |
|
|
Image Classification (I8)
|
99% |
6635
1.24 KIPS |
|
|
Image Segmentation (F32)
|
100% |
2581
43.1 IPS |
|
|
Image Segmentation (F16)
|
100% |
2801
46.8 IPS |
|
|
Image Segmentation (I8)
|
98% |
3163
52.8 IPS |
|
|
Pose Estimation (F32)
|
100% |
9476
11.5 IPS |
|
|
Pose Estimation (F16)
|
100% |
9515
11.5 IPS |
|
|
Pose Estimation (I8)
|
100% |
32371
39.2 IPS |
|
|
Object Detection (F32)
|
100% |
3014
225.0 IPS |
|
|
Object Detection (F16)
|
100% |
3021
225.5 IPS |
|
|
Object Detection (I8)
|
62% |
3034
226.5 IPS |
|
|
Face Detection (F32)
|
100% |
6024
71.6 IPS |
|
|
Face Detection (F16)
|
100% |
5922
70.4 IPS |
|
|
Face Detection (I8)
|
89% |
7350
87.4 IPS |
|
|
Depth Estimation (F32)
|
100% |
11305
87.7 IPS |
|
|
Depth Estimation (F16)
|
100% |
11340
87.9 IPS |
|
|
Depth Estimation (I8)
|
96% |
23516
182.4 IPS |
|
|
Style Transfer (F32)
|
100% |
24167
31.8 IPS |
|
|
Style Transfer (F16)
|
100% |
23613
31.1 IPS |
|
|
Style Transfer (I8)
|
98% |
38328
50.4 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
4857
173.5 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
4791
171.1 IPS |
|
|
Image Super-Resolution (I8)
|
99% |
5773
206.2 IPS |
|
|
Text Classification (F32)
|
100% |
2717
3.90 KIPS |
|
|
Text Classification (F16)
|
100% |
2718
3.91 KIPS |
|
|
Text Classification (I8)
|
98% |
458
657.8 IPS |
|
|
Machine Translation (F32)
|
100% |
3542
65.2 IPS |
|
|
Machine Translation (F16)
|
100% |
3562
65.6 IPS |
|
|
Machine Translation (I8)
|
67% |
4158
76.5 IPS |
