Six United Intelligent Tech. CO.,Ltd. AXB35-02
Geekbench AI Score
5408
Single Precision Score
2000
Half Precision Score
8807
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| Upload Date | January 07 2025 09:33 AM |
| Views | 114 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | AMD Eng Sample: 100-000001243-50_Y |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | Six United Intelligent Tech. CO.,Ltd. AXB35-02 |
| Motherboard | AMD MAPLE-STXH |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | AMD Eng Sample: 100-000001243-50_Y |
| Topology | 1 Processor, 16 Cores, 32 Threads |
| Identifier | AuthenticAMD Family 26 Model 112 Stepping 0 |
| Base Frequency | 2.90 GHz |
| Cluster 1 | 16 Cores |
| Memory Information | |
|---|---|
| Size | 128.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
4670
868.5 IPS |
|
|
Image Classification (HP)
|
100% |
635
118.1 IPS |
|
|
Image Classification (Q)
|
99% |
9564
1.78 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1170
19.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
992
16.1 IPS |
|
|
Image Segmentation (Q)
|
98% |
3557
57.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
13811
16.1 IPS |
|
|
Pose Estimation (HP)
|
100% |
10082
11.8 IPS |
|
|
Pose Estimation (Q)
|
94% |
43526
51.0 IPS |
|
|
Object Detection (SP)
|
100% |
4234
335.8 IPS |
|
|
Object Detection (HP)
|
100% |
810
64.3 IPS |
|
|
Object Detection (Q)
|
86% |
11579
930.6 IPS |
|
|
Face Detection (SP)
|
100% |
9431
112.1 IPS |
|
|
Face Detection (HP)
|
100% |
1805
21.4 IPS |
|
|
Face Detection (Q)
|
97% |
11794
140.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
14595
112.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
2653
20.4 IPS |
|
|
Depth Estimation (Q)
|
78% |
10055
80.2 IPS |
|
|
Style Transfer (SP)
|
100% |
28274
36.3 IPS |
|
|
Style Transfer (HP)
|
100% |
23620
30.4 IPS |
|
|
Style Transfer (Q)
|
98% |
43620
56.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3471
128.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2776
102.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4623
171.2 IPS |
|
|
Text Classification (SP)
|
100% |
1808
2.41 KIPS |
|
|
Text Classification (HP)
|
100% |
799
1.07 KIPS |
|
|
Text Classification (Q)
|
97% |
1638
2.19 KIPS |
|
|
Machine Translation (SP)
|
100% |
2747
47.3 IPS |
|
|
Machine Translation (HP)
|
100% |
795
13.7 IPS |
|
|
Machine Translation (Q)
|
65% |
4181
84.0 IPS |
