ASRock X870E Taichi Lite
Geekbench AI Score
15695
Single Precision Score
15812
Half Precision Score
37382
Quantized Score
Geekbench AI 1.4.0 for Windows AVX2
Result Information
| Upload Date | August 25 2025 05:10 PM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | AMD Ryzen 9 9950X3D 16-Core Processor |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 10 Pro (64-bit) |
| Model | ASRock X870E Taichi Lite |
| Motherboard | ASRock X870E Taichi Lite |
| Power Plan | Desempenho Mximo |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 9 9950X3D |
| Topology | 1 Processor, 16 Cores, 32 Threads |
| Identifier | AuthenticAMD Family 26 Model 68 Stepping 0 |
| Base Frequency | 4.30 GHz |
| Cluster 1 | 16 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
7284
1.35 KIPS |
|
|
Image Classification (HP)
|
100% |
7905
1.47 KIPS |
|
|
Image Classification (Q)
|
100% |
18006
3.35 KIPS |
|
|
Image Segmentation (SP)
|
100% |
10196
165.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
10943
177.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
30456
493.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
34648
40.4 IPS |
|
|
Pose Estimation (HP)
|
100% |
34355
40.1 IPS |
|
|
Pose Estimation (Q)
|
98% |
134205
157.1 IPS |
|
|
Object Detection (SP)
|
100% |
9153
726.0 IPS |
|
|
Object Detection (HP)
|
100% |
9116
723.0 IPS |
|
|
Object Detection (Q)
|
88% |
22142
1.77 KIPS |
|
|
Face Detection (SP)
|
100% |
20192
239.9 IPS |
|
|
Face Detection (HP)
|
100% |
20068
238.4 IPS |
|
|
Face Detection (Q)
|
100% |
59013
701.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
27683
213.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
27791
214.1 IPS |
|
|
Depth Estimation (Q)
|
88% |
73262
570.1 IPS |
|
|
Style Transfer (SP)
|
100% |
85999
110.6 IPS |
|
|
Style Transfer (HP)
|
100% |
87695
112.7 IPS |
|
|
Style Transfer (Q)
|
98% |
306366
395.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
15630
577.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
15330
566.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
40996
1.52 KIPS |
|
|
Text Classification (SP)
|
100% |
5198
6.94 KIPS |
|
|
Text Classification (HP)
|
100% |
5275
7.04 KIPS |
|
|
Text Classification (Q)
|
92% |
6256
8.40 KIPS |
|
|
Machine Translation (SP)
|
100% |
9865
169.9 IPS |
|
|
Machine Translation (HP)
|
100% |
9121
157.1 IPS |
|
|
Machine Translation (Q)
|
100% |
9628
165.8 IPS |
