AZW SER8
Geekbench AI Score
3935
Single Precision Score
1899
Half Precision Score
7913
Quantized Score
Geekbench AI 1.5.0 for Windows AVX2
Result Information
| Upload Date | September 22 2025 08:01 PM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | AMD Ryzen 7 8845HS |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | AZW SER8 |
| Motherboard | AZW SER8 |
| 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 | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
3639
676.7 IPS |
|
|
Image Classification (HP)
|
100% |
720
133.8 IPS |
|
|
Image Classification (Q)
|
99% |
5526
1.03 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1321
21.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
827
13.4 IPS |
|
|
Image Segmentation (Q)
|
98% |
8837
143.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
5356
6.25 IPS |
|
|
Pose Estimation (HP)
|
100% |
6107
7.13 IPS |
|
|
Pose Estimation (Q)
|
94% |
26484
31.1 IPS |
|
|
Object Detection (SP)
|
100% |
2117
167.9 IPS |
|
|
Object Detection (HP)
|
100% |
847
67.2 IPS |
|
|
Object Detection (Q)
|
86% |
7624
612.7 IPS |
|
|
Face Detection (SP)
|
100% |
6337
75.3 IPS |
|
|
Face Detection (HP)
|
100% |
1887
22.4 IPS |
|
|
Face Detection (Q)
|
97% |
11005
131.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
9636
74.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
2767
21.3 IPS |
|
|
Depth Estimation (Q)
|
78% |
7689
61.4 IPS |
|
|
Style Transfer (SP)
|
100% |
17867
23.0 IPS |
|
|
Style Transfer (HP)
|
100% |
15397
19.8 IPS |
|
|
Style Transfer (Q)
|
98% |
28608
36.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2765
102.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2691
99.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
6673
247.1 IPS |
|
|
Text Classification (SP)
|
100% |
2242
2.99 KIPS |
|
|
Text Classification (HP)
|
100% |
915
1.22 KIPS |
|
|
Text Classification (Q)
|
97% |
1804
2.42 KIPS |
|
|
Machine Translation (SP)
|
100% |
2416
41.6 IPS |
|
|
Machine Translation (HP)
|
100% |
1002
17.3 IPS |
|
|
Machine Translation (Q)
|
65% |
3354
67.4 IPS |
