ASRock X870E Taichi
Geekbench AI Score
6683
Single Precision Score
2477
Half Precision Score
12315
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| User | metaphase |
| Upload Date | August 07 2025 11:20 AM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| 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% |
4807
893.9 IPS |
|
|
Image Classification (HP)
|
100% |
782
145.4 IPS |
|
|
Image Classification (Q)
|
99% |
12989
2.42 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2809
45.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
1300
21.1 IPS |
|
|
Image Segmentation (Q)
|
98% |
5148
83.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
17004
19.8 IPS |
|
|
Pose Estimation (HP)
|
100% |
12455
14.5 IPS |
|
|
Pose Estimation (Q)
|
94% |
70919
83.2 IPS |
|
|
Object Detection (SP)
|
100% |
4944
392.2 IPS |
|
|
Object Detection (HP)
|
100% |
994
78.9 IPS |
|
|
Object Detection (Q)
|
86% |
14901
1.20 KIPS |
|
|
Face Detection (SP)
|
100% |
9483
112.7 IPS |
|
|
Face Detection (HP)
|
100% |
2280
27.1 IPS |
|
|
Face Detection (Q)
|
97% |
14934
178.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
16183
124.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
3767
29.0 IPS |
|
|
Depth Estimation (Q)
|
78% |
30636
244.5 IPS |
|
|
Style Transfer (SP)
|
100% |
33186
42.7 IPS |
|
|
Style Transfer (HP)
|
100% |
27971
36.0 IPS |
|
|
Style Transfer (Q)
|
98% |
50671
65.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4011
148.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
3155
116.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5374
199.0 IPS |
|
|
Text Classification (SP)
|
100% |
2223
2.97 KIPS |
|
|
Text Classification (HP)
|
100% |
907
1.21 KIPS |
|
|
Text Classification (Q)
|
97% |
1977
2.65 KIPS |
|
|
Machine Translation (SP)
|
100% |
3452
59.5 IPS |
|
|
Machine Translation (HP)
|
100% |
1007
17.3 IPS |
|
|
Machine Translation (Q)
|
65% |
4611
92.7 IPS |
