GEEKOM AE7
Geekbench AI Score
4004
Single Precision Score
1813
Half Precision Score
7269
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| Upload Date | April 23 2025 05:13 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | AMD Ryzen 9 7940HS |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | GEEKOM AE7 |
| Motherboard | Default string AE7 |
| Power Plan | Ausbalanciert |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 9 7940HS |
| Topology | 1 Processor, 8 Cores, 16 Threads |
| Identifier | AuthenticAMD Family 25 Model 116 Stepping 1 |
| Base Frequency | 4.00 GHz |
| Cluster 1 | 8 Cores |
| Memory Information | |
|---|---|
| Size | 64.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
3664
681.4 IPS |
|
|
Image Classification (HP)
|
100% |
687
127.8 IPS |
|
|
Image Classification (Q)
|
99% |
8522
1.59 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1167
18.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
904
14.6 IPS |
|
|
Image Segmentation (Q)
|
98% |
3701
60.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
7406
8.64 IPS |
|
|
Pose Estimation (HP)
|
100% |
5830
6.80 IPS |
|
|
Pose Estimation (Q)
|
94% |
21536
25.3 IPS |
|
|
Object Detection (SP)
|
100% |
2042
162.0 IPS |
|
|
Object Detection (HP)
|
100% |
827
65.6 IPS |
|
|
Object Detection (Q)
|
86% |
8053
647.2 IPS |
|
|
Face Detection (SP)
|
100% |
7132
84.7 IPS |
|
|
Face Detection (HP)
|
100% |
1864
22.1 IPS |
|
|
Face Detection (Q)
|
97% |
11099
132.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
9648
74.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
2746
21.2 IPS |
|
|
Depth Estimation (Q)
|
78% |
7777
62.1 IPS |
|
|
Style Transfer (SP)
|
100% |
17362
22.3 IPS |
|
|
Style Transfer (HP)
|
100% |
14523
18.7 IPS |
|
|
Style Transfer (Q)
|
98% |
31094
40.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2794
103.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2604
96.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3733
138.2 IPS |
|
|
Text Classification (SP)
|
100% |
1962
2.62 KIPS |
|
|
Text Classification (HP)
|
100% |
818
1.09 KIPS |
|
|
Text Classification (Q)
|
97% |
1975
2.65 KIPS |
|
|
Machine Translation (SP)
|
100% |
2507
43.2 IPS |
|
|
Machine Translation (HP)
|
100% |
810
14.0 IPS |
|
|
Machine Translation (Q)
|
65% |
3807
76.5 IPS |
