ASRock X870E Taichi Lite
Geekbench AI Score
2696
Single Precision Score
2692
Half Precision Score
2404
Quantized Score
Geekbench AI 1.5.0 for Linux AVX2
Result Information
| User | malisali |
| Upload Date | November 16 2025 03:10 PM |
| Views | 9 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | AMD Ryzen 9 7950X |
| System Information | |
|---|---|
| Operating System | Arch Linux |
| Model | ASRock X870E Taichi Lite |
| Motherboard | ASRock X870E Taichi Lite |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 9 7950X |
| Topology | 1 Processor, 16 Cores, 32 Threads |
| Identifier | AuthenticAMD Family 25 Model 97 Stepping 2 |
| Base Frequency | 5.88 GHz |
| Cluster 1 | 0 Cores |
| Memory Information | |
|---|---|
| Size | 93.39 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1803
335.3 IPS |
|
|
Image Classification (HP)
|
100% |
1744
324.3 IPS |
|
|
Image Classification (Q)
|
99% |
1669
311.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
3193
51.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
3256
52.8 IPS |
|
|
Image Segmentation (Q)
|
98% |
1548
25.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
3973
4.64 IPS |
|
|
Pose Estimation (HP)
|
100% |
3968
4.63 IPS |
|
|
Pose Estimation (Q)
|
96% |
6458
7.57 IPS |
|
|
Object Detection (SP)
|
100% |
2077
164.7 IPS |
|
|
Object Detection (HP)
|
100% |
2019
160.1 IPS |
|
|
Object Detection (Q)
|
85% |
2062
166.0 IPS |
|
|
Face Detection (SP)
|
100% |
3036
36.1 IPS |
|
|
Face Detection (HP)
|
100% |
3039
36.1 IPS |
|
|
Face Detection (Q)
|
97% |
3489
41.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
3042
23.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
3017
23.2 IPS |
|
|
Depth Estimation (Q)
|
63% |
2894
27.1 IPS |
|
|
Style Transfer (SP)
|
100% |
4108
5.28 IPS |
|
|
Style Transfer (HP)
|
100% |
4072
5.23 IPS |
|
|
Style Transfer (Q)
|
98% |
8854
11.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1838
67.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1852
68.4 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
2628
97.4 IPS |
|
|
Text Classification (SP)
|
100% |
1770
2.36 KIPS |
|
|
Text Classification (HP)
|
100% |
1831
2.44 KIPS |
|
|
Text Classification (Q)
|
92% |
958
1.29 KIPS |
|
|
Machine Translation (SP)
|
100% |
3470
59.8 IPS |
|
|
Machine Translation (HP)
|
100% |
3480
59.9 IPS |
|
|
Machine Translation (Q)
|
58% |
833
19.6 IPS |
