ADVAN 1701
Geekbench AI Score
3007
Single Precision Score
1299
Half Precision Score
4065
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| Upload Date | April 08 2025 02:40 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% |
2343
435.6 IPS |
|
|
Image Classification (HP)
|
100% |
524
97.4 IPS |
|
|
Image Classification (Q)
|
96% |
3894
727.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
1444
23.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
442
7.16 IPS |
|
|
Image Segmentation (Q)
|
97% |
2237
36.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
4742
5.53 IPS |
|
|
Pose Estimation (HP)
|
100% |
3849
4.49 IPS |
|
|
Pose Estimation (Q)
|
86% |
8908
10.5 IPS |
|
|
Object Detection (SP)
|
100% |
2113
167.6 IPS |
|
|
Object Detection (HP)
|
100% |
677
53.7 IPS |
|
|
Object Detection (Q)
|
58% |
2647
289.3 IPS |
|
|
Face Detection (SP)
|
100% |
4137
49.2 IPS |
|
|
Face Detection (HP)
|
100% |
1384
16.4 IPS |
|
|
Face Detection (Q)
|
96% |
6643
79.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
6331
48.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
2020
15.6 IPS |
|
|
Depth Estimation (Q)
|
78% |
8391
67.0 IPS |
|
|
Style Transfer (SP)
|
100% |
10970
14.1 IPS |
|
|
Style Transfer (HP)
|
100% |
9108
11.7 IPS |
|
|
Style Transfer (Q)
|
87% |
14007
18.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2023
74.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1824
67.4 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
2231
82.7 IPS |
|
|
Text Classification (SP)
|
100% |
1509
2.01 KIPS |
|
|
Text Classification (HP)
|
100% |
769
1.03 KIPS |
|
|
Text Classification (Q)
|
97% |
1451
1.94 KIPS |
|
|
Machine Translation (SP)
|
100% |
2038
35.1 IPS |
|
|
Machine Translation (HP)
|
100% |
638
11.0 IPS |
|
|
Machine Translation (Q)
|
68% |
2377
45.9 IPS |
