ASRock B650E Taichi Lite
Geekbench AI Score
7276
Single Precision Score
7207
Half Precision Score
17992
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| User | BlightedDespot |
| Upload Date | February 10 2025 01:34 PM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | AMD Ryzen 7 7800X3D 8-Core Processor |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 10 Pro (64-bit) |
| Model | ASRock B650E Taichi Lite |
| Motherboard | ASRock B650E Taichi Lite |
| Power Plan | CoutX Ultimate Performance |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 7 7800X3D |
| Topology | 1 Processor, 8 Cores, 16 Threads |
| Identifier | AuthenticAMD Family 25 Model 97 Stepping 2 |
| Base Frequency | 4.41 GHz |
| Cluster 1 | 8 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
4597
854.9 IPS |
|
|
Image Classification (HP)
|
100% |
4341
807.4 IPS |
|
|
Image Classification (Q)
|
100% |
11071
2.06 KIPS |
|
|
Image Segmentation (SP)
|
100% |
4879
79.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
5174
83.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
12650
205.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
8226
9.60 IPS |
|
|
Pose Estimation (HP)
|
100% |
7876
9.19 IPS |
|
|
Pose Estimation (Q)
|
98% |
31885
37.3 IPS |
|
|
Object Detection (SP)
|
100% |
4408
349.7 IPS |
|
|
Object Detection (HP)
|
100% |
4479
355.3 IPS |
|
|
Object Detection (Q)
|
88% |
11598
929.8 IPS |
|
|
Face Detection (SP)
|
100% |
14625
173.8 IPS |
|
|
Face Detection (HP)
|
100% |
14390
171.0 IPS |
|
|
Face Detection (Q)
|
100% |
31027
368.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
10951
84.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
11550
89.0 IPS |
|
|
Depth Estimation (Q)
|
88% |
31090
241.9 IPS |
|
|
Style Transfer (SP)
|
100% |
22904
29.4 IPS |
|
|
Style Transfer (HP)
|
100% |
22094
28.4 IPS |
|
|
Style Transfer (Q)
|
98% |
82698
106.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5161
190.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4999
184.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
16371
606.3 IPS |
|
|
Text Classification (SP)
|
100% |
4216
5.63 KIPS |
|
|
Text Classification (HP)
|
100% |
4208
5.62 KIPS |
|
|
Text Classification (Q)
|
92% |
6465
8.69 KIPS |
|
|
Machine Translation (SP)
|
100% |
6414
110.5 IPS |
|
|
Machine Translation (HP)
|
100% |
6178
106.4 IPS |
|
|
Machine Translation (Q)
|
100% |
8130
140.0 IPS |
