ASRock X870E Taichi Lite
Geekbench AI Score
15647
Single Precision Score
15660
Half Precision Score
38257
Quantized Score
Geekbench AI 1.4.0 for Windows AVX2
Result Information
| User | JeanCarrasco |
| Upload Date | August 26 2025 06:53 PM |
| Views | 9 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | AMD Ryzen 7 9800X3D 8-Core Processor |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | ASRock X870E Taichi Lite |
| Motherboard | ASRock X870E Taichi Lite |
| Power Plan | Dynamic Boost Performance |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 7 9800X3D |
| Topology | 1 Processor, 8 Cores, 16 Threads |
| Identifier | AuthenticAMD Family 26 Model 68 Stepping 0 |
| Base Frequency | 5.72 GHz |
| Cluster 1 | 8 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
9421
1.75 KIPS |
|
|
Image Classification (HP)
|
100% |
9424
1.75 KIPS |
|
|
Image Classification (Q)
|
100% |
24037
4.47 KIPS |
|
|
Image Segmentation (SP)
|
100% |
10682
173.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
10688
173.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
28533
462.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
18736
21.9 IPS |
|
|
Pose Estimation (HP)
|
100% |
18738
21.9 IPS |
|
|
Pose Estimation (Q)
|
98% |
73202
85.7 IPS |
|
|
Object Detection (SP)
|
100% |
9639
764.6 IPS |
|
|
Object Detection (HP)
|
100% |
9650
765.4 IPS |
|
|
Object Detection (Q)
|
88% |
25720
2.06 KIPS |
|
|
Face Detection (SP)
|
100% |
29992
356.4 IPS |
|
|
Face Detection (HP)
|
100% |
29967
356.1 IPS |
|
|
Face Detection (Q)
|
100% |
64578
767.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
25103
193.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
25203
194.2 IPS |
|
|
Depth Estimation (Q)
|
88% |
68973
536.8 IPS |
|
|
Style Transfer (SP)
|
100% |
53555
68.8 IPS |
|
|
Style Transfer (HP)
|
100% |
53536
68.8 IPS |
|
|
Style Transfer (Q)
|
98% |
185957
239.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
11887
438.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
11895
439.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
36491
1.35 KIPS |
|
|
Text Classification (SP)
|
100% |
7308
9.75 KIPS |
|
|
Text Classification (HP)
|
100% |
7348
9.81 KIPS |
|
|
Text Classification (Q)
|
92% |
10334
13.9 KIPS |
|
|
Machine Translation (SP)
|
100% |
13827
238.2 IPS |
|
|
Machine Translation (HP)
|
100% |
13782
237.4 IPS |
|
|
Machine Translation (Q)
|
100% |
16652
286.8 IPS |
