ASRock X870E Taichi
Geekbench AI Score
13038
Single Precision Score
13359
Half Precision Score
32408
Quantized Score
Geekbench AI 1.4.0 for Windows AVX2
Result Information
| User | rbtree |
| Upload Date | July 26 2025 10:29 AM |
| Views | 11 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | AMD Ryzen 9 9950X 16-Core Processor |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | ASRock X870E Taichi |
| Motherboard | ASRock X870E Taichi |
| Power Plan | High performance |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 9 9950X |
| 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% |
6586
1.22 KIPS |
|
|
Image Classification (HP)
|
100% |
6650
1.24 KIPS |
|
|
Image Classification (Q)
|
100% |
17694
3.29 KIPS |
|
|
Image Segmentation (SP)
|
100% |
9366
151.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
9747
158.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
24219
392.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
27369
31.9 IPS |
|
|
Pose Estimation (HP)
|
100% |
27518
32.1 IPS |
|
|
Pose Estimation (Q)
|
98% |
113693
133.1 IPS |
|
|
Object Detection (SP)
|
100% |
7304
579.3 IPS |
|
|
Object Detection (HP)
|
100% |
7706
611.2 IPS |
|
|
Object Detection (Q)
|
88% |
18745
1.50 KIPS |
|
|
Face Detection (SP)
|
100% |
17212
204.5 IPS |
|
|
Face Detection (HP)
|
100% |
17546
208.5 IPS |
|
|
Face Detection (Q)
|
100% |
49881
592.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
20493
157.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
21411
165.0 IPS |
|
|
Depth Estimation (Q)
|
88% |
60684
472.2 IPS |
|
|
Style Transfer (SP)
|
100% |
72277
92.9 IPS |
|
|
Style Transfer (HP)
|
100% |
73195
94.1 IPS |
|
|
Style Transfer (Q)
|
98% |
262104
338.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
13281
490.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
13724
506.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
36627
1.36 KIPS |
|
|
Text Classification (SP)
|
100% |
4350
5.81 KIPS |
|
|
Text Classification (HP)
|
100% |
4465
5.96 KIPS |
|
|
Text Classification (Q)
|
92% |
5473
7.35 KIPS |
|
|
Machine Translation (SP)
|
100% |
7818
134.7 IPS |
|
|
Machine Translation (HP)
|
100% |
7822
134.7 IPS |
|
|
Machine Translation (Q)
|
100% |
8801
151.6 IPS |
