ASRock B650E Taichi Lite
Geekbench ML Score
29684
ONNX DirectML Inference Score
Geekbench ML 0.6.0 for Windows AVX2
Result Information
| User | BlightedDespot |
| Upload Date | October 03 2025 08:13 PM |
| Views | 6 |
System Information
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro Insider Preview (64-bit) |
| Model | ASRock B650E Taichi Lite |
| Motherboard | ASRock B650E Taichi Lite |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 7 7800X3D |
| Topology | 1 Processor, 8 Cores, 16 Threads |
| Identifier | AuthenticAMD Family 25 Model 97 Stepping 2 |
| Base Frequency | 4.20 GHz |
| Cluster 1 | 8 Cores |
| L1 Instruction Cache | 32.0 KB x 8 |
| L1 Data Cache | 32.0 KB x 8 |
| L2 Cache | 1.00 MB x 8 |
| L3 Cache | 96.0 MB x 1 |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
| Inference Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | AMD Radeon RX 9070 XT |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
15285
2.86 KIPS |
|
|
Image Classification (F16)
|
100% |
16314
3.05 KIPS |
|
|
Image Classification (I8)
|
100% |
14435
2.70 KIPS |
|
|
Image Segmentation (F32)
|
100% |
15544
259.6 IPS |
|
|
Image Segmentation (F16)
|
100% |
21357
356.7 IPS |
|
|
Image Segmentation (I8)
|
98% |
19443
324.7 IPS |
|
|
Pose Estimation (F32)
|
100% |
213003
257.9 IPS |
|
|
Pose Estimation (F16)
|
100% |
224504
271.9 IPS |
|
|
Pose Estimation (I8)
|
100% |
201030
243.4 IPS |
|
|
Object Detection (F32)
|
100% |
7454
556.5 IPS |
|
|
Object Detection (F16)
|
100% |
7871
587.6 IPS |
|
|
Object Detection (I8)
|
56% |
7467
557.4 IPS |
|
|
Face Detection (F32)
|
100% |
39056
464.4 IPS |
|
|
Face Detection (F16)
|
100% |
44887
533.7 IPS |
|
|
Face Detection (I8)
|
89% |
37251
442.9 IPS |
|
|
Depth Estimation (F32)
|
100% |
83653
648.7 IPS |
|
|
Depth Estimation (F16)
|
100% |
85577
663.6 IPS |
|
|
Depth Estimation (I8)
|
95% |
72057
558.8 IPS |
|
|
Style Transfer (F32)
|
100% |
383690
504.7 IPS |
|
|
Style Transfer (F16)
|
100% |
363126
477.7 IPS |
|
|
Style Transfer (I8)
|
98% |
341896
449.7 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
50877
1.82 KIPS |
|
|
Image Super-Resolution (F16)
|
100% |
54110
1.93 KIPS |
|
|
Image Super-Resolution (I8)
|
99% |
41417
1.48 KIPS |
|
|
Text Classification (F32)
|
100% |
3696
5.31 KIPS |
|
|
Text Classification (F16)
|
100% |
4748
6.82 KIPS |
|
|
Text Classification (I8)
|
98% |
3084
4.43 KIPS |
|
|
Machine Translation (F32)
|
100% |
5982
110.1 IPS |
|
|
Machine Translation (F16)
|
100% |
6464
119.0 IPS |
|
|
Machine Translation (I8)
|
70% |
4000
73.6 IPS |
