ASRock X670E Taichi
Geekbench AI Score
4488
Single Precision Score
1756
Half Precision Score
9674
Quantized Score
Geekbench AI 1.4.0 for Windows AVX2
Result Information
| User | kolored |
| Upload Date | August 27 2025 03:45 AM |
| Views | 8 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | AMD Ryzen 9 7950X3D |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | ASRock X670E Taichi |
| Motherboard | ASRock X670E Taichi |
| Power Plan | High performance |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 9 7950X3D |
| Topology | 1 Processor, 16 Cores, 32 Threads |
| Identifier | AuthenticAMD Family 25 Model 97 Stepping 2 |
| Base Frequency | 4.20 GHz |
| Cluster 1 | 16 Cores |
| Memory Information | |
|---|---|
| Size | 48.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
3452
641.9 IPS |
|
|
Image Classification (HP)
|
100% |
581
108.0 IPS |
|
|
Image Classification (Q)
|
99% |
8229
1.53 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2052
33.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
776
12.6 IPS |
|
|
Image Segmentation (Q)
|
98% |
12259
199.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
8875
10.4 IPS |
|
|
Pose Estimation (HP)
|
100% |
7113
8.30 IPS |
|
|
Pose Estimation (Q)
|
94% |
38673
45.3 IPS |
|
|
Object Detection (SP)
|
100% |
3603
285.8 IPS |
|
|
Object Detection (HP)
|
100% |
736
58.4 IPS |
|
|
Object Detection (Q)
|
86% |
9200
739.4 IPS |
|
|
Face Detection (SP)
|
100% |
7074
84.1 IPS |
|
|
Face Detection (HP)
|
100% |
1486
17.7 IPS |
|
|
Face Detection (Q)
|
97% |
11480
136.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
10630
81.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
2633
20.3 IPS |
|
|
Depth Estimation (Q)
|
78% |
19654
156.8 IPS |
|
|
Style Transfer (SP)
|
100% |
20794
26.7 IPS |
|
|
Style Transfer (HP)
|
100% |
20145
25.9 IPS |
|
|
Style Transfer (Q)
|
98% |
38448
49.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2381
87.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2197
81.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4843
179.3 IPS |
|
|
Text Classification (SP)
|
100% |
1530
2.04 KIPS |
|
|
Text Classification (HP)
|
100% |
712
950.8 IPS |
|
|
Text Classification (Q)
|
97% |
1347
1.80 KIPS |
|
|
Machine Translation (SP)
|
100% |
2575
44.4 IPS |
|
|
Machine Translation (HP)
|
100% |
959
16.5 IPS |
|
|
Machine Translation (Q)
|
65% |
3537
71.1 IPS |
