ASRock X870E Taichi
Geekbench AI Score
2770
Single Precision Score
2758
Half Precision Score
2454
Quantized Score
Geekbench AI 1.3.0 for Linux AVX2
Result Information
| User | IMaT_UoA |
| Upload Date | May 14 2025 01:14 PM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | AMD Ryzen 9 9900X 12-Core Processor |
| System Information | |
|---|---|
| Operating System | Ubuntu 22.04.5 LTS |
| Model | ASRock X870E Taichi |
| Motherboard | ASRock X870E Taichi |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 9 9900X 12-Core Processor |
| Topology | 1 Processor, 12 Cores, 24 Threads |
| Identifier | AuthenticAMD Family 26 Model 68 Stepping 0 |
| Base Frequency | 5.66 GHz |
| Cluster 1 | 0 Cores |
| Memory Information | |
|---|---|
| Size | 186.31 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2090
388.6 IPS |
|
|
Image Classification (HP)
|
100% |
2085
387.7 IPS |
|
|
Image Classification (Q)
|
99% |
1837
342.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
3104
50.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
3108
50.4 IPS |
|
|
Image Segmentation (Q)
|
98% |
1650
26.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
3589
4.19 IPS |
|
|
Pose Estimation (HP)
|
100% |
3585
4.18 IPS |
|
|
Pose Estimation (Q)
|
96% |
5554
6.51 IPS |
|
|
Object Detection (SP)
|
100% |
2107
167.1 IPS |
|
|
Object Detection (HP)
|
100% |
2007
159.2 IPS |
|
|
Object Detection (Q)
|
85% |
2012
161.9 IPS |
|
|
Face Detection (SP)
|
100% |
3545
42.1 IPS |
|
|
Face Detection (HP)
|
100% |
3532
42.0 IPS |
|
|
Face Detection (Q)
|
97% |
3841
45.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
2994
23.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
2953
22.7 IPS |
|
|
Depth Estimation (Q)
|
63% |
3054
28.6 IPS |
|
|
Style Transfer (SP)
|
100% |
3551
4.56 IPS |
|
|
Style Transfer (HP)
|
100% |
3555
4.57 IPS |
|
|
Style Transfer (Q)
|
98% |
8466
10.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2217
81.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2231
82.4 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
2617
97.0 IPS |
|
|
Text Classification (SP)
|
100% |
1810
2.42 KIPS |
|
|
Text Classification (HP)
|
100% |
1760
2.35 KIPS |
|
|
Text Classification (Q)
|
92% |
1008
1.35 KIPS |
|
|
Machine Translation (SP)
|
100% |
3586
61.8 IPS |
|
|
Machine Translation (HP)
|
100% |
3758
64.7 IPS |
|
|
Machine Translation (Q)
|
58% |
893
21.0 IPS |
