ASRock X870E Taichi Lite
Geekbench AI Score
2749
Single Precision Score
2765
Half Precision Score
2472
Quantized Score
Geekbench AI 1.5.0 for Linux AVX2
Result Information
| User | malisali |
| Upload Date | November 16 2025 03:33 PM |
| Views | 7 |
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% |
1831
340.6 IPS |
|
|
Image Classification (HP)
|
100% |
1812
336.9 IPS |
|
|
Image Classification (Q)
|
99% |
1714
319.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
3270
53.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
3353
54.4 IPS |
|
|
Image Segmentation (Q)
|
98% |
1588
25.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
4109
4.79 IPS |
|
|
Pose Estimation (HP)
|
100% |
4077
4.76 IPS |
|
|
Pose Estimation (Q)
|
96% |
6509
7.63 IPS |
|
|
Object Detection (SP)
|
100% |
2083
165.2 IPS |
|
|
Object Detection (HP)
|
100% |
2128
168.8 IPS |
|
|
Object Detection (Q)
|
85% |
2126
171.1 IPS |
|
|
Face Detection (SP)
|
100% |
3027
36.0 IPS |
|
|
Face Detection (HP)
|
100% |
3033
36.0 IPS |
|
|
Face Detection (Q)
|
97% |
3554
42.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
3136
24.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
3068
23.6 IPS |
|
|
Depth Estimation (Q)
|
63% |
3043
28.5 IPS |
|
|
Style Transfer (SP)
|
100% |
4143
5.33 IPS |
|
|
Style Transfer (HP)
|
100% |
4145
5.33 IPS |
|
|
Style Transfer (Q)
|
98% |
9050
11.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1876
69.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1903
70.3 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
2715
100.6 IPS |
|
|
Text Classification (SP)
|
100% |
1828
2.44 KIPS |
|
|
Text Classification (HP)
|
100% |
1858
2.48 KIPS |
|
|
Text Classification (Q)
|
92% |
976
1.31 KIPS |
|
|
Machine Translation (SP)
|
100% |
3572
61.5 IPS |
|
|
Machine Translation (HP)
|
100% |
3636
62.6 IPS |
|
|
Machine Translation (Q)
|
58% |
875
20.5 IPS |
