ASRock X870E Taichi
Geekbench AI Score
2782
Single Precision Score
2777
Half Precision Score
2466
Quantized Score
Geekbench AI 1.3.0 for Linux AVX2
Result Information
| User | IMaT_UoA |
| Upload Date | May 14 2025 01:18 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% |
2082
387.2 IPS |
|
|
Image Classification (HP)
|
100% |
2086
388.0 IPS |
|
|
Image Classification (Q)
|
99% |
1848
344.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
3112
50.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
3118
50.5 IPS |
|
|
Image Segmentation (Q)
|
98% |
1680
27.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
3609
4.21 IPS |
|
|
Pose Estimation (HP)
|
100% |
3601
4.20 IPS |
|
|
Pose Estimation (Q)
|
96% |
5569
6.52 IPS |
|
|
Object Detection (SP)
|
100% |
2111
167.5 IPS |
|
|
Object Detection (HP)
|
100% |
2042
162.0 IPS |
|
|
Object Detection (Q)
|
85% |
2010
161.8 IPS |
|
|
Face Detection (SP)
|
100% |
3554
42.2 IPS |
|
|
Face Detection (HP)
|
100% |
3591
42.7 IPS |
|
|
Face Detection (Q)
|
97% |
3895
46.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
2990
23.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
2929
22.6 IPS |
|
|
Depth Estimation (Q)
|
63% |
3064
28.7 IPS |
|
|
Style Transfer (SP)
|
100% |
3543
4.56 IPS |
|
|
Style Transfer (HP)
|
100% |
3534
4.54 IPS |
|
|
Style Transfer (Q)
|
98% |
8420
10.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2212
81.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2222
82.0 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
2624
97.2 IPS |
|
|
Text Classification (SP)
|
100% |
1783
2.38 KIPS |
|
|
Text Classification (HP)
|
100% |
1798
2.40 KIPS |
|
|
Text Classification (Q)
|
92% |
1012
1.36 KIPS |
|
|
Machine Translation (SP)
|
100% |
3794
65.4 IPS |
|
|
Machine Translation (HP)
|
100% |
3849
66.3 IPS |
|
|
Machine Translation (Q)
|
58% |
899
21.1 IPS |
