ASRock B650E Taichi Lite
Geekbench ML Score
3293
ONNX CPU Inference Score
Geekbench ML 0.6.0 for Windows AVX2
Result Information
| Upload Date | March 02 2025 10:41 AM |
| Views | 4 |
System Information
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 IoT Enterprise LTSC (64-bit) |
| Model | ASRock B650E Taichi Lite |
| Motherboard | ASRock B650E Taichi Lite |
| Power Plan | CPUDoc Dynamic Power Plan Win11 V2 (Ultimate) |
| 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 | CPU |
| Device | Default |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
1423
266.3 IPS |
|
|
Image Classification (F16)
|
100% |
1686
315.6 IPS |
|
|
Image Classification (I8)
|
99% |
4598
860.5 IPS |
|
|
Image Segmentation (F32)
|
100% |
1637
27.3 IPS |
|
|
Image Segmentation (F16)
|
100% |
1662
27.8 IPS |
|
|
Image Segmentation (I8)
|
98% |
1979
33.1 IPS |
|
|
Pose Estimation (F32)
|
100% |
3264
3.95 IPS |
|
|
Pose Estimation (F16)
|
100% |
4091
4.95 IPS |
|
|
Pose Estimation (I8)
|
100% |
20050
24.3 IPS |
|
|
Object Detection (F32)
|
100% |
1711
127.7 IPS |
|
|
Object Detection (F16)
|
100% |
1776
132.6 IPS |
|
|
Object Detection (I8)
|
62% |
2345
175.1 IPS |
|
|
Face Detection (F32)
|
100% |
4534
53.9 IPS |
|
|
Face Detection (F16)
|
100% |
4626
55.0 IPS |
|
|
Face Detection (I8)
|
89% |
6130
72.9 IPS |
|
|
Depth Estimation (F32)
|
100% |
5547
43.0 IPS |
|
|
Depth Estimation (F16)
|
100% |
9247
71.7 IPS |
|
|
Depth Estimation (I8)
|
96% |
7729
59.9 IPS |
|
|
Style Transfer (F32)
|
100% |
9010
11.9 IPS |
|
|
Style Transfer (F16)
|
100% |
10642
14.0 IPS |
|
|
Style Transfer (I8)
|
98% |
21159
27.8 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
1986
70.9 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
2174
77.7 IPS |
|
|
Image Super-Resolution (I8)
|
99% |
3230
115.3 IPS |
|
|
Text Classification (F32)
|
100% |
1179
1.69 KIPS |
|
|
Text Classification (F16)
|
100% |
830
1.19 KIPS |
|
|
Text Classification (I8)
|
98% |
1014
1.46 KIPS |
|
|
Machine Translation (F32)
|
100% |
2507
46.1 IPS |
|
|
Machine Translation (F16)
|
100% |
2441
44.9 IPS |
|
|
Machine Translation (I8)
|
67% |
3406
62.7 IPS |
