ASRock X870E Taichi
Geekbench AI Score
13722
Single Precision Score
13282
Half Precision Score
32369
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| User | metaphase |
| Upload Date | August 07 2025 11:22 AM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | AMD Ryzen 9 9950X3D 16-Core Processor |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | ASRock X870E Taichi |
| Motherboard | ASRock X870E Taichi |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 9 9950X3D |
| Topology | 1 Processor, 16 Cores, 32 Threads |
| Identifier | AuthenticAMD Family 26 Model 68 Stepping 0 |
| Base Frequency | 4.30 GHz |
| Cluster 1 | 16 Cores |
| Memory Information | |
|---|---|
| Size | 96.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
7337
1.36 KIPS |
|
|
Image Classification (HP)
|
100% |
6423
1.19 KIPS |
|
|
Image Classification (Q)
|
100% |
17055
3.17 KIPS |
|
|
Image Segmentation (SP)
|
100% |
8867
143.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
8337
135.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
23590
382.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
30279
35.3 IPS |
|
|
Pose Estimation (HP)
|
100% |
29500
34.4 IPS |
|
|
Pose Estimation (Q)
|
98% |
118086
138.2 IPS |
|
|
Object Detection (SP)
|
100% |
8382
664.9 IPS |
|
|
Object Detection (HP)
|
100% |
7729
613.1 IPS |
|
|
Object Detection (Q)
|
88% |
19610
1.57 KIPS |
|
|
Face Detection (SP)
|
100% |
15700
186.5 IPS |
|
|
Face Detection (HP)
|
100% |
15746
187.1 IPS |
|
|
Face Detection (Q)
|
100% |
50236
596.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
23576
181.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
22217
171.2 IPS |
|
|
Depth Estimation (Q)
|
88% |
62461
486.1 IPS |
|
|
Style Transfer (SP)
|
100% |
74015
95.1 IPS |
|
|
Style Transfer (HP)
|
100% |
74155
95.3 IPS |
|
|
Style Transfer (Q)
|
98% |
262913
339.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
13970
515.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
14145
522.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
36115
1.34 KIPS |
|
|
Text Classification (SP)
|
100% |
4890
6.53 KIPS |
|
|
Text Classification (HP)
|
100% |
4995
6.67 KIPS |
|
|
Text Classification (Q)
|
92% |
5461
7.34 KIPS |
|
|
Machine Translation (SP)
|
100% |
7664
132.0 IPS |
|
|
Machine Translation (HP)
|
100% |
7635
131.5 IPS |
|
|
Machine Translation (Q)
|
100% |
8332
143.5 IPS |
