ONDA B660-VH
Geekbench ML Score
1581
ONNX DirectML Inference Score
Geekbench ML 0.6.0 for Windows AVX2
Result Information
| Upload Date | August 17 2024 06:03 AM |
| Views | 3 |
System Information
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 (64-bit) |
| Model | ONDA B660-VH |
| Motherboard | ONDA B660-VH |
| CPU Information | |
|---|---|
| Name | Intel Core i3-12100 |
| Topology | 1 Processor, 4 Cores, 8 Threads |
| Identifier | GenuineIntel Family 6 Model 151 Stepping 5 |
| Base Frequency | 3.30 GHz |
| Cluster 1 | 4 Cores |
| L1 Instruction Cache | 32.0 KB x 4 |
| L1 Data Cache | 48.0 KB x 4 |
| L2 Cache | 1.25 MB x 4 |
| L3 Cache | 12.0 MB x 1 |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
| Inference Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce GT 1030 |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
370
69.2 IPS |
|
|
Image Classification (F16)
|
100% |
376
70.3 IPS |
|
|
Image Classification (I8)
|
100% |
340
63.6 IPS |
|
|
Image Segmentation (F32)
|
100% |
1028
17.2 IPS |
|
|
Image Segmentation (F16)
|
100% |
1021
17.0 IPS |
|
|
Image Segmentation (I8)
|
98% |
863
14.4 IPS |
|
|
Pose Estimation (F32)
|
100% |
8027
9.72 IPS |
|
|
Pose Estimation (F16)
|
100% |
8035
9.73 IPS |
|
|
Pose Estimation (I8)
|
100% |
6756
8.18 IPS |
|
|
Object Detection (F32)
|
100% |
497
37.1 IPS |
|
|
Object Detection (F16)
|
100% |
495
37.0 IPS |
|
|
Object Detection (I8)
|
60% |
456
34.0 IPS |
|
|
Face Detection (F32)
|
100% |
991
11.8 IPS |
|
|
Face Detection (F16)
|
100% |
990
11.8 IPS |
|
|
Face Detection (I8)
|
89% |
855
10.2 IPS |
|
|
Depth Estimation (F32)
|
100% |
3349
26.0 IPS |
|
|
Depth Estimation (F16)
|
100% |
3347
26.0 IPS |
|
|
Depth Estimation (I8)
|
95% |
2830
21.9 IPS |
|
|
Style Transfer (F32)
|
100% |
15384
20.2 IPS |
|
|
Style Transfer (F16)
|
100% |
15334
20.2 IPS |
|
|
Style Transfer (I8)
|
98% |
12366
16.3 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
3388
121.0 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
3312
118.3 IPS |
|
|
Image Super-Resolution (I8)
|
99% |
2222
79.3 IPS |
|
|
Text Classification (F32)
|
100% |
839
1.21 KIPS |
|
|
Text Classification (F16)
|
100% |
840
1.21 KIPS |
|
|
Text Classification (I8)
|
98% |
476
684.0 IPS |
|
|
Machine Translation (F32)
|
100% |
1120
20.6 IPS |
|
|
Machine Translation (F16)
|
100% |
1122
20.6 IPS |
|
|
Machine Translation (I8)
|
68% |
544
10.0 IPS |
