AZW SER8-win10 AZW SER8
Geekbench AI Score
3006
Single Precision Score
1429
Half Precision Score
5261
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| User | sfm408 |
| Upload Date | April 12 2025 11:26 AM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | AMD Ryzen 7 8845HS |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 10 LTSC (64-bit) |
| Model | AZW SER8 |
| Motherboard | AZW SER8 |
| 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 | 64.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2238
416.2 IPS |
|
|
Image Classification (HP)
|
100% |
566
105.3 IPS |
|
|
Image Classification (Q)
|
99% |
7249
1.35 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1289
20.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
714
11.6 IPS |
|
|
Image Segmentation (Q)
|
98% |
2358
38.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
4471
5.22 IPS |
|
|
Pose Estimation (HP)
|
100% |
3940
4.60 IPS |
|
|
Pose Estimation (Q)
|
94% |
21652
25.4 IPS |
|
|
Object Detection (SP)
|
100% |
2123
168.4 IPS |
|
|
Object Detection (HP)
|
100% |
642
50.9 IPS |
|
|
Object Detection (Q)
|
86% |
5126
412.0 IPS |
|
|
Face Detection (SP)
|
100% |
5276
62.7 IPS |
|
|
Face Detection (HP)
|
100% |
1571
18.7 IPS |
|
|
Face Detection (Q)
|
97% |
9500
113.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
6090
46.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
2229
17.2 IPS |
|
|
Depth Estimation (Q)
|
78% |
8538
68.1 IPS |
|
|
Style Transfer (SP)
|
100% |
11403
14.7 IPS |
|
|
Style Transfer (HP)
|
100% |
10342
13.3 IPS |
|
|
Style Transfer (Q)
|
98% |
26370
34.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1902
70.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1860
68.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3182
117.8 IPS |
|
|
Text Classification (SP)
|
100% |
1478
1.97 KIPS |
|
|
Text Classification (HP)
|
100% |
711
949.4 IPS |
|
|
Text Classification (Q)
|
97% |
444
595.3 IPS |
|
|
Machine Translation (SP)
|
100% |
2139
36.8 IPS |
|
|
Machine Translation (HP)
|
100% |
728
12.5 IPS |
|
|
Machine Translation (Q)
|
65% |
2835
57.0 IPS |
