ASRock X870E Taichi Lite
Geekbench AI Score
4506
Single Precision Score
1685
Half Precision Score
8665
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| User | Liosnel |
| Upload Date | March 30 2025 05:35 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | AMD Ryzen 9 7950X |
| 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% |
3285
610.9 IPS |
|
|
Image Classification (HP)
|
100% |
515
95.7 IPS |
|
|
Image Classification (Q)
|
99% |
8933
1.67 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2187
35.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
776
12.6 IPS |
|
|
Image Segmentation (Q)
|
98% |
4144
67.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
9212
10.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
7636
8.91 IPS |
|
|
Pose Estimation (Q)
|
94% |
39018
45.7 IPS |
|
|
Object Detection (SP)
|
100% |
3378
268.0 IPS |
|
|
Object Detection (HP)
|
100% |
711
56.4 IPS |
|
|
Object Detection (Q)
|
86% |
10364
832.9 IPS |
|
|
Face Detection (SP)
|
100% |
6933
82.4 IPS |
|
|
Face Detection (HP)
|
100% |
1394
16.6 IPS |
|
|
Face Detection (Q)
|
97% |
11511
137.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
9977
76.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
2636
20.3 IPS |
|
|
Depth Estimation (Q)
|
78% |
19746
157.6 IPS |
|
|
Style Transfer (SP)
|
100% |
19955
25.7 IPS |
|
|
Style Transfer (HP)
|
100% |
19187
24.7 IPS |
|
|
Style Transfer (Q)
|
98% |
34908
45.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2439
90.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2316
85.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3645
135.0 IPS |
|
|
Text Classification (SP)
|
100% |
1550
2.07 KIPS |
|
|
Text Classification (HP)
|
100% |
689
920.2 IPS |
|
|
Text Classification (Q)
|
97% |
1358
1.82 KIPS |
|
|
Machine Translation (SP)
|
100% |
2959
51.0 IPS |
|
|
Machine Translation (HP)
|
100% |
757
13.0 IPS |
|
|
Machine Translation (Q)
|
65% |
4060
81.6 IPS |
