ASRock X870E Taichi
Geekbench AI Score
11872
Single Precision Score
11766
Half Precision Score
29172
Quantized Score
Geekbench AI 1.5.0 for Windows AVX2
Result Information
| User | metaphase |
| Upload Date | December 27 2025 05:19 AM |
| Views | 2 |
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 | 5.40 GHz |
| Cluster 1 | 16 Cores |
| Memory Information | |
|---|---|
| Size | 96.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
6154
1.14 KIPS |
|
|
Image Classification (HP)
|
100% |
6579
1.22 KIPS |
|
|
Image Classification (Q)
|
100% |
15891
2.96 KIPS |
|
|
Image Segmentation (SP)
|
100% |
7656
124.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
8011
129.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
22950
372.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
23070
26.9 IPS |
|
|
Pose Estimation (HP)
|
100% |
22300
26.0 IPS |
|
|
Pose Estimation (Q)
|
98% |
86436
101.2 IPS |
|
|
Object Detection (SP)
|
100% |
7090
562.3 IPS |
|
|
Object Detection (HP)
|
100% |
7140
566.3 IPS |
|
|
Object Detection (Q)
|
88% |
18032
1.45 KIPS |
|
|
Face Detection (SP)
|
100% |
16156
192.0 IPS |
|
|
Face Detection (HP)
|
100% |
16649
197.8 IPS |
|
|
Face Detection (Q)
|
100% |
46364
550.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
19661
151.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
18687
144.0 IPS |
|
|
Depth Estimation (Q)
|
88% |
52152
405.8 IPS |
|
|
Style Transfer (SP)
|
100% |
58687
75.4 IPS |
|
|
Style Transfer (HP)
|
100% |
57370
73.7 IPS |
|
|
Style Transfer (Q)
|
98% |
217746
280.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
11900
439.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
10507
388.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
33732
1.25 KIPS |
|
|
Text Classification (SP)
|
100% |
4395
5.87 KIPS |
|
|
Text Classification (HP)
|
100% |
4334
5.78 KIPS |
|
|
Text Classification (Q)
|
92% |
5421
7.28 KIPS |
|
|
Machine Translation (SP)
|
100% |
7407
127.6 IPS |
|
|
Machine Translation (HP)
|
100% |
7459
128.5 IPS |
|
|
Machine Translation (Q)
|
100% |
8158
140.5 IPS |
