ASRock X870E Taichi Lite
Geekbench AI Score
28585
Single Precision Score
45004
Half Precision Score
23155
Quantized Score
Geekbench AI 1.5.0 for Windows AVX2
Result Information
| User | NokiyaMeego |
| Upload Date | October 04 2025 10:33 AM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | AMD Radeon RX 9060 XT |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | ASRock X870E Taichi Lite |
| Motherboard | ASRock X870E Taichi Lite |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 9 7950X |
| Topology | 1 Processor, 16 Cores, 32 Threads |
| Identifier | AuthenticAMD Family 25 Model 97 Stepping 2 |
| Base Frequency | 4.50 GHz |
| Cluster 1 | 16 Cores |
| Memory Information | |
|---|---|
| Size | 48.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
13351
2.48 KIPS |
|
|
Image Classification (HP)
|
100% |
16330
3.04 KIPS |
|
|
Image Classification (Q)
|
100% |
12567
2.34 KIPS |
|
|
Image Segmentation (SP)
|
100% |
20648
334.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
30913
501.1 IPS |
|
|
Image Segmentation (Q)
|
98% |
18915
307.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
129768
151.4 IPS |
|
|
Pose Estimation (HP)
|
100% |
444496
518.7 IPS |
|
|
Pose Estimation (Q)
|
96% |
114226
133.8 IPS |
|
|
Object Detection (SP)
|
100% |
11676
926.2 IPS |
|
|
Object Detection (HP)
|
99% |
18552
1.47 KIPS |
|
|
Object Detection (Q)
|
87% |
10724
861.3 IPS |
|
|
Face Detection (SP)
|
100% |
34113
405.3 IPS |
|
|
Face Detection (HP)
|
100% |
49997
594.1 IPS |
|
|
Face Detection (Q)
|
97% |
29330
349.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
69564
535.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
99501
766.6 IPS |
|
|
Depth Estimation (Q)
|
77% |
57005
457.2 IPS |
|
|
Style Transfer (SP)
|
100% |
251276
323.0 IPS |
|
|
Style Transfer (HP)
|
100% |
504556
648.6 IPS |
|
|
Style Transfer (Q)
|
98% |
213210
274.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
42640
1.57 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
84198
3.11 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
33869
1.25 KIPS |
|
|
Text Classification (SP)
|
100% |
4610
6.15 KIPS |
|
|
Text Classification (HP)
|
100% |
5334
7.12 KIPS |
|
|
Text Classification (Q)
|
97% |
3236
4.34 KIPS |
|
|
Machine Translation (SP)
|
100% |
7441
128.2 IPS |
|
|
Machine Translation (HP)
|
100% |
7263
125.1 IPS |
|
|
Machine Translation (Q)
|
70% |
3896
73.1 IPS |
