ASRock B650E Taichi Lite
Geekbench AI Score
1888
Single Precision Score
2038
Half Precision Score
1493
Quantized Score
Geekbench AI 1.1.0 for Windows AVX2
Result Information
| User | dshinkarev |
| Upload Date | September 17 2024 03:10 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | AMD Radeon(TM) Graphics |
| 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% |
626
116.5 IPS |
|
|
Image Classification (HP)
|
100% |
615
114.4 IPS |
|
|
Image Classification (Q)
|
100% |
588
109.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
1165
18.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
642
10.4 IPS |
|
|
Image Segmentation (Q)
|
98% |
1008
16.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
6523
7.61 IPS |
|
|
Pose Estimation (HP)
|
100% |
11019
12.9 IPS |
|
|
Pose Estimation (Q)
|
96% |
5887
6.90 IPS |
|
|
Object Detection (SP)
|
100% |
686
54.4 IPS |
|
|
Object Detection (HP)
|
100% |
652
51.7 IPS |
|
|
Object Detection (Q)
|
89% |
579
46.3 IPS |
|
|
Face Detection (SP)
|
100% |
1753
20.8 IPS |
|
|
Face Detection (HP)
|
100% |
1868
22.2 IPS |
|
|
Face Detection (Q)
|
97% |
1498
17.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
3745
28.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
4393
33.9 IPS |
|
|
Depth Estimation (Q)
|
76% |
3206
25.8 IPS |
|
|
Style Transfer (SP)
|
100% |
11393
14.6 IPS |
|
|
Style Transfer (HP)
|
100% |
16495
21.2 IPS |
|
|
Style Transfer (Q)
|
98% |
10135
13.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2854
105.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
3832
141.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
2182
80.8 IPS |
|
|
Text Classification (SP)
|
100% |
738
985.1 IPS |
|
|
Text Classification (HP)
|
100% |
785
1.05 KIPS |
|
|
Text Classification (Q)
|
97% |
520
696.5 IPS |
|
|
Machine Translation (SP)
|
100% |
1125
19.4 IPS |
|
|
Machine Translation (HP)
|
100% |
1075
18.5 IPS |
|
|
Machine Translation (Q)
|
60% |
494
11.0 IPS |
