ADVAN 1701
Geekbench AI Score
2731
Single Precision Score
1235
Half Precision Score
4064
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| Upload Date | April 08 2025 02:44 AM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | AMD Ryzen 5 6600H |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Home (64-bit) |
| Model | ADVAN 1701 |
| Motherboard | ADVAN ARN39-140H-YD |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 5 6600H |
| Topology | 1 Processor, 6 Cores, 12 Threads |
| Identifier | AuthenticAMD Family 25 Model 68 Stepping 1 |
| Base Frequency | 3.30 GHz |
| Cluster 1 | 6 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2396
445.5 IPS |
|
|
Image Classification (HP)
|
100% |
531
98.7 IPS |
|
|
Image Classification (Q)
|
96% |
3906
729.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
570
9.24 IPS |
|
|
Image Segmentation (HP)
|
100% |
411
6.66 IPS |
|
|
Image Segmentation (Q)
|
97% |
2221
36.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
4639
5.41 IPS |
|
|
Pose Estimation (HP)
|
100% |
3793
4.43 IPS |
|
|
Pose Estimation (Q)
|
86% |
8856
10.5 IPS |
|
|
Object Detection (SP)
|
100% |
2231
177.0 IPS |
|
|
Object Detection (HP)
|
100% |
663
52.6 IPS |
|
|
Object Detection (Q)
|
58% |
2676
292.4 IPS |
|
|
Face Detection (SP)
|
100% |
4119
48.9 IPS |
|
|
Face Detection (HP)
|
100% |
1370
16.3 IPS |
|
|
Face Detection (Q)
|
96% |
6729
80.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
6308
48.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
2064
15.9 IPS |
|
|
Depth Estimation (Q)
|
78% |
8392
67.0 IPS |
|
|
Style Transfer (SP)
|
100% |
11097
14.3 IPS |
|
|
Style Transfer (HP)
|
100% |
6441
8.28 IPS |
|
|
Style Transfer (Q)
|
87% |
13798
18.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2020
74.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1767
65.3 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
2197
81.4 IPS |
|
|
Text Classification (SP)
|
100% |
1511
2.02 KIPS |
|
|
Text Classification (HP)
|
100% |
745
993.8 IPS |
|
|
Text Classification (Q)
|
97% |
1440
1.93 KIPS |
|
|
Machine Translation (SP)
|
100% |
1862
32.1 IPS |
|
|
Machine Translation (HP)
|
100% |
631
10.9 IPS |
|
|
Machine Translation (Q)
|
68% |
2430
46.9 IPS |
