ASRock X870E Taichi Lite
Geekbench AI Score
2003
Single Precision Score
2129
Half Precision Score
1641
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| User | ChadrickTech |
| Upload Date | June 27 2025 12:51 AM |
| Views | 6 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | AMD Radeon(TM) Graphics |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | ASRock X870E Taichi Lite |
| Motherboard | ASRock X870E Taichi Lite |
| Power Plan | Balanced |
| 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 | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
687
127.8 IPS |
|
|
Image Classification (HP)
|
100% |
665
123.7 IPS |
|
|
Image Classification (Q)
|
100% |
681
126.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
1176
19.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
645
10.5 IPS |
|
|
Image Segmentation (Q)
|
98% |
1020
16.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
6704
7.82 IPS |
|
|
Pose Estimation (HP)
|
100% |
10957
12.8 IPS |
|
|
Pose Estimation (Q)
|
96% |
6006
7.04 IPS |
|
|
Object Detection (SP)
|
100% |
740
58.7 IPS |
|
|
Object Detection (HP)
|
100% |
695
55.1 IPS |
|
|
Object Detection (Q)
|
87% |
700
56.2 IPS |
|
|
Face Detection (SP)
|
100% |
2272
27.0 IPS |
|
|
Face Detection (HP)
|
100% |
2221
26.4 IPS |
|
|
Face Detection (Q)
|
97% |
2103
25.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
3882
29.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
4575
35.3 IPS |
|
|
Depth Estimation (Q)
|
77% |
3391
27.2 IPS |
|
|
Style Transfer (SP)
|
100% |
11391
14.6 IPS |
|
|
Style Transfer (HP)
|
100% |
16519
21.2 IPS |
|
|
Style Transfer (Q)
|
98% |
10048
13.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2844
105.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
3775
139.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
2144
79.4 IPS |
|
|
Text Classification (SP)
|
100% |
724
966.5 IPS |
|
|
Text Classification (HP)
|
100% |
773
1.03 KIPS |
|
|
Text Classification (Q)
|
97% |
510
683.0 IPS |
|
|
Machine Translation (SP)
|
100% |
1254
21.6 IPS |
|
|
Machine Translation (HP)
|
100% |
1196
20.6 IPS |
|
|
Machine Translation (Q)
|
70% |
620
11.6 IPS |
