ASRock X870E Taichi
Geekbench AI Score
2777
Single Precision Score
2756
Half Precision Score
2453
Quantized Score
Geekbench AI 1.3.0 for Linux AVX2
Result Information
| User | IMaT_UoA |
| Upload Date | May 14 2025 01:21 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% |
2080
386.9 IPS |
|
|
Image Classification (HP)
|
100% |
2077
386.3 IPS |
|
|
Image Classification (Q)
|
99% |
1851
345.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
3088
50.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
3085
50.0 IPS |
|
|
Image Segmentation (Q)
|
98% |
1655
26.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
3589
4.19 IPS |
|
|
Pose Estimation (HP)
|
100% |
3565
4.16 IPS |
|
|
Pose Estimation (Q)
|
96% |
5553
6.51 IPS |
|
|
Object Detection (SP)
|
100% |
2110
167.3 IPS |
|
|
Object Detection (HP)
|
100% |
2116
167.8 IPS |
|
|
Object Detection (Q)
|
85% |
2005
161.4 IPS |
|
|
Face Detection (SP)
|
100% |
3538
42.0 IPS |
|
|
Face Detection (HP)
|
100% |
3539
42.1 IPS |
|
|
Face Detection (Q)
|
97% |
3816
45.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
2934
22.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
2919
22.5 IPS |
|
|
Depth Estimation (Q)
|
63% |
3073
28.8 IPS |
|
|
Style Transfer (SP)
|
100% |
3541
4.55 IPS |
|
|
Style Transfer (HP)
|
100% |
3542
4.55 IPS |
|
|
Style Transfer (Q)
|
98% |
8435
10.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2217
81.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2215
81.8 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
2619
97.1 IPS |
|
|
Text Classification (SP)
|
100% |
1796
2.40 KIPS |
|
|
Text Classification (HP)
|
100% |
1797
2.40 KIPS |
|
|
Text Classification (Q)
|
92% |
1002
1.35 KIPS |
|
|
Machine Translation (SP)
|
100% |
3832
66.0 IPS |
|
|
Machine Translation (HP)
|
100% |
3602
62.1 IPS |
|
|
Machine Translation (Q)
|
58% |
893
21.0 IPS |
