ASRock X870E Taichi
Geekbench AI Score
6897
Single Precision Score
2781
Half Precision Score
13239
Quantized Score
Geekbench AI 1.5.0 for Windows AVX2
Result Information
| User | metaphase |
| Upload Date | September 09 2025 06:18 AM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | AMD Ryzen 9 9950X3D |
| 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% |
4986
927.3 IPS |
|
|
Image Classification (HP)
|
100% |
854
158.8 IPS |
|
|
Image Classification (Q)
|
99% |
12948
2.42 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2143
34.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
1426
23.1 IPS |
|
|
Image Segmentation (Q)
|
98% |
19660
319.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
19090
22.3 IPS |
|
|
Pose Estimation (HP)
|
100% |
13893
16.2 IPS |
|
|
Pose Estimation (Q)
|
94% |
76897
90.2 IPS |
|
|
Object Detection (SP)
|
100% |
5192
411.8 IPS |
|
|
Object Detection (HP)
|
100% |
1162
92.2 IPS |
|
|
Object Detection (Q)
|
86% |
14519
1.17 KIPS |
|
|
Face Detection (SP)
|
100% |
10242
121.7 IPS |
|
|
Face Detection (HP)
|
100% |
2366
28.1 IPS |
|
|
Face Detection (Q)
|
97% |
15598
186.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
18277
140.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
4179
32.2 IPS |
|
|
Depth Estimation (Q)
|
78% |
30436
242.9 IPS |
|
|
Style Transfer (SP)
|
100% |
36592
47.0 IPS |
|
|
Style Transfer (HP)
|
100% |
29728
38.2 IPS |
|
|
Style Transfer (Q)
|
98% |
52162
67.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4046
149.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
3475
128.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
2845
105.4 IPS |
|
|
Text Classification (SP)
|
100% |
2331
3.11 KIPS |
|
|
Text Classification (HP)
|
100% |
1046
1.40 KIPS |
|
|
Text Classification (Q)
|
97% |
1932
2.59 KIPS |
|
|
Machine Translation (SP)
|
100% |
3563
61.4 IPS |
|
|
Machine Translation (HP)
|
100% |
1319
22.7 IPS |
|
|
Machine Translation (Q)
|
65% |
4277
85.9 IPS |
