ASRock B650E Taichi Lite
Geekbench AI Score
3624
Single Precision Score
1605
Half Precision Score
5066
Quantized Score
Geekbench AI 1.1.0 for Windows AVX2
Result Information
| User | dshinkarev |
| Upload Date | September 17 2024 03:05 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | AMD Ryzen 7 7800X3D |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | ASRock B650E Taichi Lite |
| Motherboard | ASRock B650E Taichi Lite |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 7 7800X3D |
| Topology | 1 Processor, 8 Cores, 16 Threads |
| Identifier | AuthenticAMD Family 25 Model 97 Stepping 2 |
| Base Frequency | 4.20 GHz |
| Cluster 1 | 8 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1992
370.5 IPS |
|
|
Image Classification (HP)
|
100% |
563
104.7 IPS |
|
|
Image Classification (Q)
|
99% |
5295
987.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
2099
34.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
903
14.6 IPS |
|
|
Image Segmentation (Q)
|
98% |
2527
41.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
5202
6.07 IPS |
|
|
Pose Estimation (HP)
|
100% |
4436
5.18 IPS |
|
|
Pose Estimation (Q)
|
95% |
24153
28.3 IPS |
|
|
Object Detection (SP)
|
100% |
2292
181.8 IPS |
|
|
Object Detection (HP)
|
100% |
731
57.9 IPS |
|
|
Object Detection (Q)
|
88% |
2390
191.6 IPS |
|
|
Face Detection (SP)
|
100% |
5251
62.4 IPS |
|
|
Face Detection (HP)
|
100% |
2036
24.2 IPS |
|
|
Face Detection (Q)
|
97% |
6980
83.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
6643
51.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
2348
18.1 IPS |
|
|
Depth Estimation (Q)
|
77% |
12225
97.8 IPS |
|
|
Style Transfer (SP)
|
100% |
13672
17.6 IPS |
|
|
Style Transfer (HP)
|
100% |
11556
14.9 IPS |
|
|
Style Transfer (Q)
|
98% |
30745
39.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2553
94.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2153
79.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4403
163.0 IPS |
|
|
Text Classification (SP)
|
100% |
2178
2.91 KIPS |
|
|
Text Classification (HP)
|
100% |
790
1.05 KIPS |
|
|
Text Classification (Q)
|
97% |
429
575.1 IPS |
|
|
Machine Translation (SP)
|
100% |
2960
51.0 IPS |
|
|
Machine Translation (HP)
|
100% |
733
12.6 IPS |
|
|
Machine Translation (Q)
|
60% |
2913
65.0 IPS |
