ASRock X870E Taichi Lite
Geekbench AI Score
3375
Single Precision Score
3354
Half Precision Score
1989
Quantized Score
Geekbench AI 1.5.0 for Linux AVX2
Result Information
| User | malisali |
| Upload Date | November 16 2025 02:48 PM |
| Views | 5 |
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, 8 Cores |
| 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% |
2726
506.9 IPS |
|
|
Image Classification (HP)
|
100% |
2742
510.0 IPS |
|
|
Image Classification (Q)
|
99% |
1493
278.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
3335
54.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
3626
58.8 IPS |
|
|
Image Segmentation (Q)
|
98% |
1373
22.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
3615
4.22 IPS |
|
|
Pose Estimation (HP)
|
100% |
3573
4.17 IPS |
|
|
Pose Estimation (Q)
|
96% |
4165
4.88 IPS |
|
|
Object Detection (SP)
|
100% |
2569
203.8 IPS |
|
|
Object Detection (HP)
|
100% |
2559
203.0 IPS |
|
|
Object Detection (Q)
|
85% |
1407
113.2 IPS |
|
|
Face Detection (SP)
|
100% |
4197
49.9 IPS |
|
|
Face Detection (HP)
|
100% |
4337
51.5 IPS |
|
|
Face Detection (Q)
|
97% |
2807
33.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
3713
28.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
3535
27.2 IPS |
|
|
Depth Estimation (Q)
|
63% |
2441
22.9 IPS |
|
|
Style Transfer (SP)
|
100% |
4008
5.15 IPS |
|
|
Style Transfer (HP)
|
100% |
4021
5.17 IPS |
|
|
Style Transfer (Q)
|
98% |
6975
8.99 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2963
109.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2594
95.8 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
2065
76.5 IPS |
|
|
Text Classification (SP)
|
100% |
3128
4.18 KIPS |
|
|
Text Classification (HP)
|
100% |
3214
4.29 KIPS |
|
|
Text Classification (Q)
|
92% |
1026
1.38 KIPS |
|
|
Machine Translation (SP)
|
100% |
3932
67.7 IPS |
|
|
Machine Translation (HP)
|
100% |
3859
66.5 IPS |
|
|
Machine Translation (Q)
|
58% |
800
18.8 IPS |
