Six United Intelligent Tech. CO.,Ltd. AXB35-02
Geekbench AI Score
5945
Single Precision Score
6027
Half Precision Score
15743
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| Upload Date | January 07 2025 09:31 AM |
| Views | 10 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| 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% |
3880
721.6 IPS |
|
|
Image Classification (HP)
|
100% |
3717
691.2 IPS |
|
|
Image Classification (Q)
|
100% |
10345
1.92 KIPS |
|
|
Image Segmentation (SP)
|
100% |
3451
55.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
4388
71.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
6208
100.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
8294
9.68 IPS |
|
|
Pose Estimation (HP)
|
100% |
8006
9.34 IPS |
|
|
Pose Estimation (Q)
|
98% |
31374
36.7 IPS |
|
|
Object Detection (SP)
|
100% |
2998
237.8 IPS |
|
|
Object Detection (HP)
|
100% |
3451
273.7 IPS |
|
|
Object Detection (Q)
|
88% |
10584
848.4 IPS |
|
|
Face Detection (SP)
|
100% |
9229
109.7 IPS |
|
|
Face Detection (HP)
|
100% |
9511
113.0 IPS |
|
|
Face Detection (Q)
|
100% |
26183
311.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
9352
72.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
10456
80.6 IPS |
|
|
Depth Estimation (Q)
|
88% |
25286
196.8 IPS |
|
|
Style Transfer (SP)
|
100% |
19826
25.5 IPS |
|
|
Style Transfer (HP)
|
100% |
20073
25.8 IPS |
|
|
Style Transfer (Q)
|
98% |
96726
124.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5496
202.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4389
162.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
19706
729.8 IPS |
|
|
Text Classification (SP)
|
100% |
3314
4.42 KIPS |
|
|
Text Classification (HP)
|
100% |
3127
4.17 KIPS |
|
|
Text Classification (Q)
|
92% |
5061
6.80 KIPS |
|
|
Machine Translation (SP)
|
100% |
5322
91.7 IPS |
|
|
Machine Translation (HP)
|
100% |
5131
88.4 IPS |
|
|
Machine Translation (Q)
|
100% |
6868
118.3 IPS |
