ASRock X870E Taichi
Geekbench AI Score
2767
Single Precision Score
2768
Half Precision Score
2450
Quantized Score
Geekbench AI 1.3.0 for Linux AVX2
Result Information
| User | IMaT_UoA |
| Upload Date | May 14 2025 01:05 PM |
| Views | 8 |
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% |
2075
385.8 IPS |
|
|
Image Classification (HP)
|
100% |
2097
390.0 IPS |
|
|
Image Classification (Q)
|
99% |
1834
342.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
3109
50.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
3139
50.9 IPS |
|
|
Image Segmentation (Q)
|
98% |
1641
26.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
3576
4.17 IPS |
|
|
Pose Estimation (HP)
|
100% |
3521
4.11 IPS |
|
|
Pose Estimation (Q)
|
96% |
5565
6.52 IPS |
|
|
Object Detection (SP)
|
100% |
2125
168.6 IPS |
|
|
Object Detection (HP)
|
100% |
2130
169.0 IPS |
|
|
Object Detection (Q)
|
85% |
1991
160.3 IPS |
|
|
Face Detection (SP)
|
100% |
3544
42.1 IPS |
|
|
Face Detection (HP)
|
100% |
3542
42.1 IPS |
|
|
Face Detection (Q)
|
97% |
3872
46.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
2956
22.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
2869
22.1 IPS |
|
|
Depth Estimation (Q)
|
63% |
3052
28.6 IPS |
|
|
Style Transfer (SP)
|
100% |
3525
4.53 IPS |
|
|
Style Transfer (HP)
|
100% |
3538
4.55 IPS |
|
|
Style Transfer (Q)
|
98% |
8458
10.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2200
81.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2211
81.7 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
2615
96.9 IPS |
|
|
Text Classification (SP)
|
100% |
1756
2.34 KIPS |
|
|
Text Classification (HP)
|
100% |
1760
2.35 KIPS |
|
|
Text Classification (Q)
|
92% |
1005
1.35 KIPS |
|
|
Machine Translation (SP)
|
100% |
3775
65.0 IPS |
|
|
Machine Translation (HP)
|
100% |
3825
65.9 IPS |
|
|
Machine Translation (Q)
|
58% |
893
21.0 IPS |
