ADVAN 1406
Geekbench AI Score
1603
Single Precision Score
784
Half Precision Score
3859
Quantized Score
Geekbench AI 1.4.0 for Windows AVX2
Result Information
| Upload Date | August 13 2025 09:54 AM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | AMD Ryzen 7 8845HS |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Home (64-bit) |
| Model | ADVAN 1406 |
| Motherboard | SU ARN39H-140M-PY |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 7 8845HS |
| Topology | 1 Processor, 8 Cores, 16 Threads |
| Identifier | AuthenticAMD Family 25 Model 117 Stepping 2 |
| Base Frequency | 3.80 GHz |
| Cluster 1 | 8 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1228
228.4 IPS |
|
|
Image Classification (HP)
|
100% |
279
51.9 IPS |
|
|
Image Classification (Q)
|
99% |
4039
753.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
531
8.61 IPS |
|
|
Image Segmentation (HP)
|
100% |
361
5.85 IPS |
|
|
Image Segmentation (Q)
|
98% |
4050
65.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
2302
2.69 IPS |
|
|
Pose Estimation (HP)
|
100% |
2040
2.38 IPS |
|
|
Pose Estimation (Q)
|
94% |
10072
11.8 IPS |
|
|
Object Detection (SP)
|
100% |
1184
93.9 IPS |
|
|
Object Detection (HP)
|
100% |
347
27.5 IPS |
|
|
Object Detection (Q)
|
86% |
3964
318.6 IPS |
|
|
Face Detection (SP)
|
100% |
3092
36.7 IPS |
|
|
Face Detection (HP)
|
100% |
915
10.9 IPS |
|
|
Face Detection (Q)
|
97% |
4609
54.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
3149
24.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
1173
9.04 IPS |
|
|
Depth Estimation (Q)
|
78% |
3845
30.7 IPS |
|
|
Style Transfer (SP)
|
100% |
5779
7.43 IPS |
|
|
Style Transfer (HP)
|
100% |
5357
6.89 IPS |
|
|
Style Transfer (Q)
|
98% |
14706
19.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1028
38.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
978
36.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
2663
98.6 IPS |
|
|
Text Classification (SP)
|
100% |
854
1.14 KIPS |
|
|
Text Classification (HP)
|
100% |
449
599.1 IPS |
|
|
Text Classification (Q)
|
97% |
843
1.13 KIPS |
|
|
Machine Translation (SP)
|
100% |
1277
22.0 IPS |
|
|
Machine Translation (HP)
|
100% |
491
8.46 IPS |
|
|
Machine Translation (Q)
|
65% |
1921
38.6 IPS |
