ASRock B650E Taichi Lite
Geekbench ML Score
20936
ONNX DirectML Inference Score
Geekbench ML 0.6.0 for Windows AVX2
Result Information
| Upload Date | February 03 2025 10:51 PM |
| Views | 3 |
System Information
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (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 | DirectML |
| Device | NVIDIA GeForce RTX 4070 |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
8912
1.67 KIPS |
|
|
Image Classification (F16)
|
100% |
9877
1.85 KIPS |
|
|
Image Classification (I8)
|
100% |
8591
1.61 KIPS |
|
|
Image Segmentation (F32)
|
100% |
16179
270.2 IPS |
|
|
Image Segmentation (F16)
|
100% |
16497
275.5 IPS |
|
|
Image Segmentation (I8)
|
98% |
14654
244.7 IPS |
|
|
Pose Estimation (F32)
|
100% |
138357
167.5 IPS |
|
|
Pose Estimation (F16)
|
100% |
138633
167.9 IPS |
|
|
Pose Estimation (I8)
|
100% |
122688
148.6 IPS |
|
|
Object Detection (F32)
|
100% |
7019
524.0 IPS |
|
|
Object Detection (F16)
|
100% |
7017
523.9 IPS |
|
|
Object Detection (I8)
|
63% |
6498
485.1 IPS |
|
|
Face Detection (F32)
|
100% |
29670
352.8 IPS |
|
|
Face Detection (F16)
|
100% |
31351
372.8 IPS |
|
|
Face Detection (I8)
|
89% |
26282
312.5 IPS |
|
|
Depth Estimation (F32)
|
100% |
58859
456.5 IPS |
|
|
Depth Estimation (F16)
|
100% |
52922
410.4 IPS |
|
|
Depth Estimation (I8)
|
95% |
43356
336.2 IPS |
|
|
Style Transfer (F32)
|
100% |
236269
310.8 IPS |
|
|
Style Transfer (F16)
|
100% |
236211
310.7 IPS |
|
|
Style Transfer (I8)
|
98% |
210069
276.3 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
41389
1.48 KIPS |
|
|
Image Super-Resolution (F16)
|
100% |
41331
1.48 KIPS |
|
|
Image Super-Resolution (I8)
|
99% |
30189
1.08 KIPS |
|
|
Text Classification (F32)
|
100% |
2781
4.00 KIPS |
|
|
Text Classification (F16)
|
100% |
2912
4.18 KIPS |
|
|
Text Classification (I8)
|
98% |
1834
2.64 KIPS |
|
|
Machine Translation (F32)
|
100% |
4868
89.6 IPS |
|
|
Machine Translation (F16)
|
100% |
4835
89.0 IPS |
|
|
Machine Translation (I8)
|
70% |
2722
50.1 IPS |
