ASRock X870E Taichi Lite
Geekbench AI Score
8782
Single Precision Score
8920
Half Precision Score
21263
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| User | Liosnel |
| Upload Date | March 30 2025 05:37 AM |
| Views | 8 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | AMD Ryzen 9 7950X 16-Core Processor |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | ASRock X870E Taichi Lite |
| Motherboard | ASRock X870E Taichi Lite |
| Power Plan | High performance |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 9 7950X |
| Topology | 1 Processor, 16 Cores, 32 Threads |
| Identifier | AuthenticAMD Family 25 Model 97 Stepping 2 |
| Base Frequency | 4.50 GHz |
| Cluster 1 | 16 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
4984
926.9 IPS |
|
|
Image Classification (HP)
|
100% |
4903
911.8 IPS |
|
|
Image Classification (Q)
|
100% |
12117
2.25 KIPS |
|
|
Image Segmentation (SP)
|
100% |
6496
105.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
6467
104.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
17442
282.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
15517
18.1 IPS |
|
|
Pose Estimation (HP)
|
100% |
15631
18.2 IPS |
|
|
Pose Estimation (Q)
|
98% |
61978
72.6 IPS |
|
|
Object Detection (SP)
|
100% |
5325
422.4 IPS |
|
|
Object Detection (HP)
|
100% |
5352
424.5 IPS |
|
|
Object Detection (Q)
|
88% |
13675
1.10 KIPS |
|
|
Face Detection (SP)
|
100% |
11425
135.8 IPS |
|
|
Face Detection (HP)
|
100% |
12730
151.3 IPS |
|
|
Face Detection (Q)
|
100% |
33220
394.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
13764
106.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
14258
109.8 IPS |
|
|
Depth Estimation (Q)
|
88% |
42007
326.9 IPS |
|
|
Style Transfer (SP)
|
100% |
40417
52.0 IPS |
|
|
Style Transfer (HP)
|
100% |
41137
52.9 IPS |
|
|
Style Transfer (Q)
|
98% |
146010
188.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
8252
304.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
8119
299.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
22954
850.1 IPS |
|
|
Text Classification (SP)
|
100% |
3451
4.61 KIPS |
|
|
Text Classification (HP)
|
100% |
3492
4.66 KIPS |
|
|
Text Classification (Q)
|
92% |
3974
5.34 KIPS |
|
|
Machine Translation (SP)
|
100% |
5637
97.1 IPS |
|
|
Machine Translation (HP)
|
100% |
5684
97.9 IPS |
|
|
Machine Translation (Q)
|
100% |
5675
97.8 IPS |
