ASRock X870E Taichi Lite
Geekbench AI Score
14550
Single Precision Score
14532
Half Precision Score
35707
Quantized Score
Geekbench AI 1.4.0 for Windows AVX2
Result Information
| User | JeanCarrasco |
| Upload Date | August 26 2025 03:44 PM |
| Views | 3 |
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 | 5.60 GHz |
| Cluster 1 | 8 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
8842
1.64 KIPS |
|
|
Image Classification (HP)
|
100% |
8816
1.64 KIPS |
|
|
Image Classification (Q)
|
100% |
23416
4.35 KIPS |
|
|
Image Segmentation (SP)
|
100% |
9999
162.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
10053
163.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
27001
437.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
16874
19.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
16902
19.7 IPS |
|
|
Pose Estimation (Q)
|
98% |
68262
79.9 IPS |
|
|
Object Detection (SP)
|
100% |
8915
707.1 IPS |
|
|
Object Detection (HP)
|
100% |
8745
693.6 IPS |
|
|
Object Detection (Q)
|
88% |
24589
1.97 KIPS |
|
|
Face Detection (SP)
|
100% |
26693
317.2 IPS |
|
|
Face Detection (HP)
|
100% |
27240
323.7 IPS |
|
|
Face Detection (Q)
|
100% |
47534
564.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
22472
173.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
22380
172.4 IPS |
|
|
Depth Estimation (Q)
|
88% |
66239
515.5 IPS |
|
|
Style Transfer (SP)
|
100% |
50011
64.3 IPS |
|
|
Style Transfer (HP)
|
100% |
49822
64.0 IPS |
|
|
Style Transfer (Q)
|
98% |
174053
224.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
11060
408.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
11002
406.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
35647
1.32 KIPS |
|
|
Text Classification (SP)
|
100% |
7089
9.46 KIPS |
|
|
Text Classification (HP)
|
100% |
7073
9.44 KIPS |
|
|
Text Classification (Q)
|
92% |
9862
13.2 KIPS |
|
|
Machine Translation (SP)
|
100% |
13596
234.2 IPS |
|
|
Machine Translation (HP)
|
100% |
13572
233.8 IPS |
|
|
Machine Translation (Q)
|
100% |
16483
283.9 IPS |
