ASRock X870E Taichi Lite
Geekbench AI Score
13035
Single Precision Score
13309
Half Precision Score
32107
Quantized Score
Geekbench AI 1.7.0 for Windows AVX2
Result Information
| User | NATA |
| Upload Date | April 19 2026 05:18 PM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | AMD Ryzen 9 9900X 12-Core Processor |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | ASRock X870E Taichi Lite |
| Motherboard | ASRock X870E Taichi Lite |
| Power Plan | Prestazioni elevate |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 9 9900X |
| Topology | 1 Processor, 12 Cores, 24 Threads |
| Identifier | AuthenticAMD Family 26 Model 68 Stepping 0 |
| Base Frequency | 4.40 GHz |
| Cluster 1 | 12 Cores |
| Memory Information | |
|---|---|
| Size | 64.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
7368
1.37 KIPS |
|
|
Image Classification (HP)
|
100% |
7181
1.34 KIPS |
|
|
Image Classification (Q)
|
100% |
17441
3.24 KIPS |
|
|
Image Segmentation (SP)
|
100% |
9175
148.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
9245
149.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
25147
407.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
24543
28.6 IPS |
|
|
Pose Estimation (HP)
|
100% |
25273
29.5 IPS |
|
|
Pose Estimation (Q)
|
98% |
99010
115.9 IPS |
|
|
Object Detection (SP)
|
100% |
7532
597.4 IPS |
|
|
Object Detection (HP)
|
100% |
8138
645.5 IPS |
|
|
Object Detection (Q)
|
88% |
19522
1.56 KIPS |
|
|
Face Detection (SP)
|
100% |
17266
205.2 IPS |
|
|
Face Detection (HP)
|
100% |
17992
213.8 IPS |
|
|
Face Detection (Q)
|
100% |
52603
625.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
21052
162.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
20944
161.4 IPS |
|
|
Depth Estimation (Q)
|
88% |
60097
467.7 IPS |
|
|
Style Transfer (SP)
|
100% |
65473
84.2 IPS |
|
|
Style Transfer (HP)
|
100% |
64795
83.3 IPS |
|
|
Style Transfer (Q)
|
98% |
235049
303.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
12693
468.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
12587
464.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
35271
1.31 KIPS |
|
|
Text Classification (SP)
|
100% |
4395
5.87 KIPS |
|
|
Text Classification (HP)
|
100% |
4738
6.32 KIPS |
|
|
Text Classification (Q)
|
92% |
5598
7.52 KIPS |
|
|
Machine Translation (SP)
|
100% |
8536
147.0 IPS |
|
|
Machine Translation (HP)
|
100% |
8776
151.2 IPS |
|
|
Machine Translation (Q)
|
100% |
9361
161.2 IPS |
