ADVAN 1701
Geekbench AI Score
3348
Single Precision Score
1504
Half Precision Score
4881
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| Upload Date | June 22 2025 04:44 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | AMD Ryzen 7 6800H |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Home (64-bit) |
| Model | ADVAN 1701 |
| Motherboard | SU ARN79C-156H-SCD |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 7 6800H |
| Topology | 1 Processor, 8 Cores, 16 Threads |
| Identifier | AuthenticAMD Family 25 Model 68 Stepping 1 |
| Base Frequency | 3.20 GHz |
| Cluster 1 | 8 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2985
555.1 IPS |
|
|
Image Classification (HP)
|
100% |
588
109.4 IPS |
|
|
Image Classification (Q)
|
96% |
4863
908.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
648
10.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
486
7.88 IPS |
|
|
Image Segmentation (Q)
|
97% |
2677
43.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
6164
7.19 IPS |
|
|
Pose Estimation (HP)
|
100% |
5008
5.84 IPS |
|
|
Pose Estimation (Q)
|
86% |
11501
13.6 IPS |
|
|
Object Detection (SP)
|
100% |
2657
210.8 IPS |
|
|
Object Detection (HP)
|
100% |
769
61.0 IPS |
|
|
Object Detection (Q)
|
58% |
3230
353.0 IPS |
|
|
Face Detection (SP)
|
100% |
4769
56.7 IPS |
|
|
Face Detection (HP)
|
100% |
1534
18.2 IPS |
|
|
Face Detection (Q)
|
96% |
8110
96.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
8094
62.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
2360
18.2 IPS |
|
|
Depth Estimation (Q)
|
78% |
10441
83.3 IPS |
|
|
Style Transfer (SP)
|
100% |
14206
18.3 IPS |
|
|
Style Transfer (HP)
|
100% |
11811
15.2 IPS |
|
|
Style Transfer (Q)
|
87% |
16791
21.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2527
93.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2154
79.5 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
2624
97.2 IPS |
|
|
Text Classification (SP)
|
100% |
1679
2.24 KIPS |
|
|
Text Classification (HP)
|
100% |
828
1.11 KIPS |
|
|
Text Classification (Q)
|
97% |
1610
2.16 KIPS |
|
|
Machine Translation (SP)
|
100% |
2404
41.4 IPS |
|
|
Machine Translation (HP)
|
100% |
709
12.2 IPS |
|
|
Machine Translation (Q)
|
68% |
2646
51.1 IPS |
