GEEKOM AE8
Geekbench AI Score
3289
Single Precision Score
1606
Half Precision Score
4982
Quantized Score
Geekbench AI 1.1.0 for Windows AVX2
Result Information
| Upload Date | November 21 2024 06:54 AM |
| Views | 1 |
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 | Razer Cortex Power Plan |
| 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 | 64.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2001
372.1 IPS |
|
|
Image Classification (HP)
|
100% |
579
107.6 IPS |
|
|
Image Classification (Q)
|
99% |
5050
941.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
1192
19.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
889
14.4 IPS |
|
|
Image Segmentation (Q)
|
98% |
3532
57.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
6069
7.08 IPS |
|
|
Pose Estimation (HP)
|
100% |
4605
5.37 IPS |
|
|
Pose Estimation (Q)
|
95% |
23539
27.6 IPS |
|
|
Object Detection (SP)
|
100% |
2211
175.4 IPS |
|
|
Object Detection (HP)
|
100% |
742
58.8 IPS |
|
|
Object Detection (Q)
|
88% |
2238
179.4 IPS |
|
|
Face Detection (SP)
|
100% |
3556
42.3 IPS |
|
|
Face Detection (HP)
|
100% |
1782
21.2 IPS |
|
|
Face Detection (Q)
|
97% |
5354
63.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
6679
51.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
2375
18.3 IPS |
|
|
Depth Estimation (Q)
|
77% |
5147
41.2 IPS |
|
|
Style Transfer (SP)
|
100% |
15760
20.3 IPS |
|
|
Style Transfer (HP)
|
100% |
13293
17.1 IPS |
|
|
Style Transfer (Q)
|
98% |
27477
35.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2729
100.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2306
85.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3571
132.2 IPS |
|
|
Text Classification (SP)
|
100% |
2095
2.80 KIPS |
|
|
Text Classification (HP)
|
100% |
748
999.0 IPS |
|
|
Text Classification (Q)
|
97% |
1770
2.37 KIPS |
|
|
Machine Translation (SP)
|
100% |
2166
37.3 IPS |
|
|
Machine Translation (HP)
|
100% |
671
11.6 IPS |
|
|
Machine Translation (Q)
|
60% |
2098
46.8 IPS |
