ASRock X870E Taichi Lite
Geekbench AI Score
2606
Single Precision Score
2640
Half Precision Score
2415
Quantized Score
Geekbench AI 1.5.0 for Linux AVX2
Result Information
| Upload Date | November 09 2025 11:43 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | AMD Ryzen 9 9900X |
| System Information | |
|---|---|
| Operating System | Ubuntu 24.04.3 LTS |
| Model | ASRock X870E Taichi Lite |
| Motherboard | ASRock X870E Taichi Lite |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 9 9900X |
| 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 | 123.41 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1841
342.4 IPS |
|
|
Image Classification (HP)
|
100% |
1921
357.3 IPS |
|
|
Image Classification (Q)
|
99% |
1792
334.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
3035
49.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
2877
46.6 IPS |
|
|
Image Segmentation (Q)
|
98% |
1601
26.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
3646
4.25 IPS |
|
|
Pose Estimation (HP)
|
100% |
3621
4.22 IPS |
|
|
Pose Estimation (Q)
|
96% |
5549
6.50 IPS |
|
|
Object Detection (SP)
|
100% |
1847
146.5 IPS |
|
|
Object Detection (HP)
|
100% |
1886
149.6 IPS |
|
|
Object Detection (Q)
|
85% |
1886
151.8 IPS |
|
|
Face Detection (SP)
|
100% |
3214
38.2 IPS |
|
|
Face Detection (HP)
|
100% |
3300
39.2 IPS |
|
|
Face Detection (Q)
|
97% |
3606
43.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
2891
22.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
2879
22.2 IPS |
|
|
Depth Estimation (Q)
|
63% |
3125
29.3 IPS |
|
|
Style Transfer (SP)
|
100% |
3876
4.98 IPS |
|
|
Style Transfer (HP)
|
100% |
3890
5.00 IPS |
|
|
Style Transfer (Q)
|
98% |
8560
11.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1905
70.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2188
80.8 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
2546
94.4 IPS |
|
|
Text Classification (SP)
|
100% |
1658
2.21 KIPS |
|
|
Text Classification (HP)
|
100% |
1548
2.07 KIPS |
|
|
Text Classification (Q)
|
92% |
991
1.33 KIPS |
|
|
Machine Translation (SP)
|
100% |
3386
58.3 IPS |
|
|
Machine Translation (HP)
|
100% |
3488
60.1 IPS |
|
|
Machine Translation (Q)
|
58% |
925
21.7 IPS |
