ASRock X870E Taichi
Geekbench AI Score
13747
Single Precision Score
14077
Half Precision Score
33633
Quantized Score
Geekbench AI 1.5.0 for Windows AVX2
Result Information
| User | metaphase |
| Upload Date | December 16 2025 06:43 AM |
| Views | 7 |
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% |
6879
1.28 KIPS |
|
|
Image Classification (HP)
|
100% |
6987
1.30 KIPS |
|
|
Image Classification (Q)
|
100% |
17056
3.17 KIPS |
|
|
Image Segmentation (SP)
|
100% |
8971
145.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
9433
152.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
25037
405.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
30083
35.1 IPS |
|
|
Pose Estimation (HP)
|
100% |
30891
36.0 IPS |
|
|
Pose Estimation (Q)
|
98% |
117973
138.1 IPS |
|
|
Object Detection (SP)
|
100% |
8278
656.6 IPS |
|
|
Object Detection (HP)
|
100% |
8371
664.0 IPS |
|
|
Object Detection (Q)
|
88% |
19365
1.55 KIPS |
|
|
Face Detection (SP)
|
100% |
16984
201.8 IPS |
|
|
Face Detection (HP)
|
100% |
17269
205.2 IPS |
|
|
Face Detection (Q)
|
100% |
53508
635.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
22023
169.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
23197
178.7 IPS |
|
|
Depth Estimation (Q)
|
88% |
65291
508.1 IPS |
|
|
Style Transfer (SP)
|
100% |
75396
96.9 IPS |
|
|
Style Transfer (HP)
|
100% |
76046
97.8 IPS |
|
|
Style Transfer (Q)
|
98% |
273353
352.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
14237
525.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
14457
533.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
38022
1.41 KIPS |
|
|
Text Classification (SP)
|
100% |
4723
6.30 KIPS |
|
|
Text Classification (HP)
|
100% |
4886
6.52 KIPS |
|
|
Text Classification (Q)
|
92% |
5615
7.54 KIPS |
|
|
Machine Translation (SP)
|
100% |
8277
142.6 IPS |
|
|
Machine Translation (HP)
|
100% |
8336
143.6 IPS |
|
|
Machine Translation (Q)
|
100% |
9312
160.4 IPS |
