ASRock X870E Taichi
Geekbench AI Score
6093
Single Precision Score
2577
Half Precision Score
12454
Quantized Score
Geekbench AI 1.5.0 for Windows AVX2
Result Information
| User | metaphase |
| Upload Date | October 13 2025 02:22 AM |
| Views | 7 |
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 | 5.35 GHz |
| Cluster 1 | 16 Cores |
| Memory Information | |
|---|---|
| Size | 96.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
4582
852.0 IPS |
|
|
Image Classification (HP)
|
100% |
867
161.2 IPS |
|
|
Image Classification (Q)
|
99% |
11393
2.12 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2131
34.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
1346
21.8 IPS |
|
|
Image Segmentation (Q)
|
98% |
18584
302.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
14077
16.4 IPS |
|
|
Pose Estimation (HP)
|
100% |
10673
12.5 IPS |
|
|
Pose Estimation (Q)
|
94% |
64181
75.3 IPS |
|
|
Object Detection (SP)
|
100% |
4563
361.9 IPS |
|
|
Object Detection (HP)
|
100% |
1070
84.9 IPS |
|
|
Object Detection (Q)
|
86% |
13777
1.11 KIPS |
|
|
Face Detection (SP)
|
100% |
9556
113.6 IPS |
|
|
Face Detection (HP)
|
100% |
2299
27.3 IPS |
|
|
Face Detection (Q)
|
97% |
14606
174.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
14475
111.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
3830
29.5 IPS |
|
|
Depth Estimation (Q)
|
78% |
29591
236.1 IPS |
|
|
Style Transfer (SP)
|
100% |
29648
38.1 IPS |
|
|
Style Transfer (HP)
|
100% |
24603
31.6 IPS |
|
|
Style Transfer (Q)
|
98% |
47978
61.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3717
137.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
3349
123.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3046
112.8 IPS |
|
|
Text Classification (SP)
|
100% |
2263
3.02 KIPS |
|
|
Text Classification (HP)
|
100% |
1042
1.39 KIPS |
|
|
Text Classification (Q)
|
97% |
1801
2.41 KIPS |
|
|
Machine Translation (SP)
|
100% |
3264
56.2 IPS |
|
|
Machine Translation (HP)
|
100% |
1283
22.1 IPS |
|
|
Machine Translation (Q)
|
65% |
4218
84.8 IPS |
