ASRock B650E Taichi Lite
Geekbench AI Score
2468
Single Precision Score
758
Half Precision Score
3958
Quantized Score
Geekbench AI 1.0.0 for Windows AVX2
Result Information
| Upload Date | September 20 2024 05:09 PM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | AMD Ryzen 5 7600X |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 10 Enterprise (64-bit) |
| Model | ASRock B650E Taichi Lite |
| Motherboard | ASRock B650E Taichi Lite |
| Power Plan | AMD Ryzen Ultimate HighPower 11-v4 |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 5 7600X |
| Topology | 1 Processor, 6 Cores, 12 Threads |
| Identifier | AuthenticAMD Family 25 Model 97 Stepping 2 |
| Base Frequency | 4.70 GHz |
| Cluster 1 | 6 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1559
289.9 IPS |
|
|
Image Classification (HP)
|
100% |
155
28.9 IPS |
|
|
Image Classification (Q)
|
99% |
3985
743.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
1532
24.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
257
4.17 IPS |
|
|
Image Segmentation (Q)
|
98% |
1944
31.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
4058
4.74 IPS |
|
|
Pose Estimation (HP)
|
100% |
2904
3.39 IPS |
|
|
Pose Estimation (Q)
|
95% |
15502
18.2 IPS |
|
|
Object Detection (SP)
|
100% |
1337
106.0 IPS |
|
|
Object Detection (HP)
|
100% |
239
19.0 IPS |
|
|
Object Detection (Q)
|
88% |
1924
154.2 IPS |
|
|
Face Detection (SP)
|
100% |
3165
37.6 IPS |
|
|
Face Detection (HP)
|
100% |
339
4.03 IPS |
|
|
Face Detection (Q)
|
97% |
5034
60.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
4475
34.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
985
7.59 IPS |
|
|
Depth Estimation (Q)
|
76% |
8815
71.0 IPS |
|
|
Style Transfer (SP)
|
100% |
8633
11.1 IPS |
|
|
Style Transfer (HP)
|
100% |
8718
11.2 IPS |
|
|
Style Transfer (Q)
|
98% |
20616
26.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1683
62.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1528
56.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3219
119.2 IPS |
|
|
Text Classification (SP)
|
100% |
1561
2.08 KIPS |
|
|
Text Classification (HP)
|
100% |
779
1.04 KIPS |
|
|
Text Classification (Q)
|
97% |
490
656.3 IPS |
|
|
Machine Translation (SP)
|
100% |
2018
34.8 IPS |
|
|
Machine Translation (HP)
|
100% |
662
11.4 IPS |
|
|
Machine Translation (Q)
|
60% |
2830
63.1 IPS |
