GEEKOM AE8
Geekbench AI Score
3257
Single Precision Score
1503
Half Precision Score
6508
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| Upload Date | March 12 2025 08:23 AM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | AMD Ryzen 7 8845HS |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | GEEKOM AE8 |
| Motherboard | Default string AE8 |
| Power Plan | Ausbalanciert |
| 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% |
2773
515.8 IPS |
|
|
Image Classification (HP)
|
100% |
566
105.3 IPS |
|
|
Image Classification (Q)
|
99% |
7645
1.43 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1087
17.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
725
11.8 IPS |
|
|
Image Segmentation (Q)
|
98% |
3449
56.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
5490
6.41 IPS |
|
|
Pose Estimation (HP)
|
100% |
4679
5.46 IPS |
|
|
Pose Estimation (Q)
|
94% |
22166
26.0 IPS |
|
|
Object Detection (SP)
|
100% |
2585
205.1 IPS |
|
|
Object Detection (HP)
|
100% |
704
55.9 IPS |
|
|
Object Detection (Q)
|
86% |
7109
571.4 IPS |
|
|
Face Detection (SP)
|
100% |
5385
64.0 IPS |
|
|
Face Detection (HP)
|
100% |
1568
18.6 IPS |
|
|
Face Detection (Q)
|
97% |
10330
123.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
7074
54.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
2380
18.3 IPS |
|
|
Depth Estimation (Q)
|
78% |
7133
56.9 IPS |
|
|
Style Transfer (SP)
|
100% |
12001
15.4 IPS |
|
|
Style Transfer (HP)
|
100% |
11366
14.6 IPS |
|
|
Style Transfer (Q)
|
98% |
26037
33.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2328
86.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2106
77.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3426
126.9 IPS |
|
|
Text Classification (SP)
|
100% |
1690
2.26 KIPS |
|
|
Text Classification (HP)
|
100% |
730
974.8 IPS |
|
|
Text Classification (Q)
|
97% |
1792
2.40 KIPS |
|
|
Machine Translation (SP)
|
100% |
1747
30.1 IPS |
|
|
Machine Translation (HP)
|
100% |
668
11.5 IPS |
|
|
Machine Translation (Q)
|
65% |
2786
56.0 IPS |
