GEEKOM AE8
Geekbench AI Score
2812
Single Precision Score
1323
Half Precision Score
6323
Quantized Score
Geekbench AI 1.4.0 for Windows AVX2
Result Information
| Upload Date | August 08 2025 04:11 PM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | AMD Ryzen 9 8945HS |
| 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 9 8945HS |
| Topology | 1 Processor, 8 Cores, 16 Threads |
| Identifier | AuthenticAMD Family 25 Model 117 Stepping 2 |
| Base Frequency | 4.00 GHz |
| Cluster 1 | 8 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2187
406.7 IPS |
|
|
Image Classification (HP)
|
100% |
531
98.7 IPS |
|
|
Image Classification (Q)
|
99% |
7541
1.41 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1433
23.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
844
13.7 IPS |
|
|
Image Segmentation (Q)
|
98% |
8344
135.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
4256
4.97 IPS |
|
|
Pose Estimation (HP)
|
100% |
3518
4.11 IPS |
|
|
Pose Estimation (Q)
|
94% |
16232
19.0 IPS |
|
|
Object Detection (SP)
|
100% |
2052
162.7 IPS |
|
|
Object Detection (HP)
|
100% |
568
45.1 IPS |
|
|
Object Detection (Q)
|
86% |
5655
454.5 IPS |
|
|
Face Detection (SP)
|
100% |
4783
56.8 IPS |
|
|
Face Detection (HP)
|
100% |
1315
15.6 IPS |
|
|
Face Detection (Q)
|
97% |
8630
102.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
5434
41.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
1983
15.3 IPS |
|
|
Depth Estimation (Q)
|
78% |
6284
50.1 IPS |
|
|
Style Transfer (SP)
|
100% |
10061
12.9 IPS |
|
|
Style Transfer (HP)
|
100% |
8762
11.3 IPS |
|
|
Style Transfer (Q)
|
98% |
20942
27.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1715
63.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1617
59.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4636
171.7 IPS |
|
|
Text Classification (SP)
|
100% |
1537
2.05 KIPS |
|
|
Text Classification (HP)
|
100% |
729
973.3 IPS |
|
|
Text Classification (Q)
|
97% |
1413
1.89 KIPS |
|
|
Machine Translation (SP)
|
100% |
1640
28.2 IPS |
|
|
Machine Translation (HP)
|
100% |
684
11.8 IPS |
|
|
Machine Translation (Q)
|
65% |
2378
47.8 IPS |
