ADVAN 1406
Geekbench AI Score
3884
Single Precision Score
1816
Half Precision Score
7185
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| Upload Date | June 03 2025 08:20 PM |
| 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 ARN79C-140M-PY-N05 |
| 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% |
2576
479.0 IPS |
|
|
Image Classification (HP)
|
100% |
671
124.7 IPS |
|
|
Image Classification (Q)
|
99% |
8526
1.59 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1238
20.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
886
14.4 IPS |
|
|
Image Segmentation (Q)
|
98% |
3871
63.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
7605
8.87 IPS |
|
|
Pose Estimation (HP)
|
100% |
6038
7.05 IPS |
|
|
Pose Estimation (Q)
|
94% |
25968
30.4 IPS |
|
|
Object Detection (SP)
|
100% |
3340
264.9 IPS |
|
|
Object Detection (HP)
|
100% |
867
68.7 IPS |
|
|
Object Detection (Q)
|
86% |
8401
675.2 IPS |
|
|
Face Detection (SP)
|
100% |
5353
63.6 IPS |
|
|
Face Detection (HP)
|
100% |
1726
20.5 IPS |
|
|
Face Detection (Q)
|
97% |
11134
132.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
10004
77.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
2768
21.3 IPS |
|
|
Depth Estimation (Q)
|
78% |
7102
56.7 IPS |
|
|
Style Transfer (SP)
|
100% |
17395
22.4 IPS |
|
|
Style Transfer (HP)
|
100% |
15448
19.9 IPS |
|
|
Style Transfer (Q)
|
98% |
25100
32.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2829
104.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2566
94.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3574
132.3 IPS |
|
|
Text Classification (SP)
|
100% |
1822
2.43 KIPS |
|
|
Text Classification (HP)
|
100% |
818
1.09 KIPS |
|
|
Text Classification (Q)
|
97% |
1956
2.62 KIPS |
|
|
Machine Translation (SP)
|
100% |
2011
34.6 IPS |
|
|
Machine Translation (HP)
|
100% |
812
14.0 IPS |
|
|
Machine Translation (Q)
|
65% |
3673
73.8 IPS |
