KaiTian 3OA0A003KX
Geekbench AI Score
1234
Single Precision Score
609
Half Precision Score
1282
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| Upload Date | July 04 2025 09:37 AM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Hygon C86-3G (OPN:3350) |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 10 (64-bit) |
| Model | KaiTian 3OA0A003KX |
| Motherboard | KaiTian KHG3X00MB1 |
| CPU Information | |
|---|---|
| Name | Hygon C86-3G (OPN:3350) |
| Topology | 1 Processor, 8 Cores, 16 Threads |
| Identifier | HygonGenuine Family 24 Model 2 Stepping 2 |
| Base Frequency | 3.00 GHz |
| Cluster 1 | 8 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
953
177.3 IPS |
|
|
Image Classification (HP)
|
100% |
241
44.8 IPS |
|
|
Image Classification (Q)
|
96% |
1126
210.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
459
7.44 IPS |
|
|
Image Segmentation (HP)
|
100% |
292
4.73 IPS |
|
|
Image Segmentation (Q)
|
97% |
836
13.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
1853
2.16 IPS |
|
|
Pose Estimation (HP)
|
100% |
1554
1.81 IPS |
|
|
Pose Estimation (Q)
|
86% |
2302
2.72 IPS |
|
|
Object Detection (SP)
|
100% |
830
65.8 IPS |
|
|
Object Detection (HP)
|
100% |
268
21.2 IPS |
|
|
Object Detection (Q)
|
58% |
742
81.0 IPS |
|
|
Face Detection (SP)
|
100% |
2099
24.9 IPS |
|
|
Face Detection (HP)
|
100% |
714
8.49 IPS |
|
|
Face Detection (Q)
|
96% |
2647
31.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
2734
21.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
903
6.95 IPS |
|
|
Depth Estimation (Q)
|
78% |
2689
21.5 IPS |
|
|
Style Transfer (SP)
|
100% |
4809
6.18 IPS |
|
|
Style Transfer (HP)
|
100% |
4393
5.65 IPS |
|
|
Style Transfer (Q)
|
87% |
5549
7.22 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
807
29.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
790
29.2 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
877
32.5 IPS |
|
|
Text Classification (SP)
|
100% |
604
806.6 IPS |
|
|
Text Classification (HP)
|
100% |
295
393.9 IPS |
|
|
Text Classification (Q)
|
97% |
225
301.1 IPS |
|
|
Machine Translation (SP)
|
100% |
906
15.6 IPS |
|
|
Machine Translation (HP)
|
100% |
368
6.34 IPS |
|
|
Machine Translation (Q)
|
68% |
959
18.5 IPS |
