GEEKOM AE8
Geekbench AI Score
4074
Single Precision Score
1777
Half Precision Score
7222
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| User | catjesus |
| Upload Date | May 27 2025 03:08 AM |
| Views | 3 |
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 | Balanced |
| 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 | 128.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
3543
658.9 IPS |
|
|
Image Classification (HP)
|
100% |
662
123.0 IPS |
|
|
Image Classification (Q)
|
99% |
8477
1.58 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1195
19.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
799
13.0 IPS |
|
|
Image Segmentation (Q)
|
98% |
3740
60.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
7301
8.52 IPS |
|
|
Pose Estimation (HP)
|
100% |
5907
6.89 IPS |
|
|
Pose Estimation (Q)
|
94% |
25596
30.0 IPS |
|
|
Object Detection (SP)
|
100% |
3228
256.1 IPS |
|
|
Object Detection (HP)
|
100% |
858
68.1 IPS |
|
|
Object Detection (Q)
|
86% |
8000
643.0 IPS |
|
|
Face Detection (SP)
|
100% |
6796
80.7 IPS |
|
|
Face Detection (HP)
|
100% |
1826
21.7 IPS |
|
|
Face Detection (Q)
|
97% |
11342
135.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
9493
73.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
2813
21.7 IPS |
|
|
Depth Estimation (Q)
|
78% |
7420
59.2 IPS |
|
|
Style Transfer (SP)
|
100% |
16645
21.4 IPS |
|
|
Style Transfer (HP)
|
100% |
14318
18.4 IPS |
|
|
Style Transfer (Q)
|
98% |
29772
38.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2751
101.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2477
91.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3507
129.9 IPS |
|
|
Text Classification (SP)
|
100% |
1852
2.47 KIPS |
|
|
Text Classification (HP)
|
100% |
815
1.09 KIPS |
|
|
Text Classification (Q)
|
97% |
1904
2.55 KIPS |
|
|
Machine Translation (SP)
|
100% |
2308
39.7 IPS |
|
|
Machine Translation (HP)
|
100% |
792
13.6 IPS |
|
|
Machine Translation (Q)
|
65% |
3556
71.5 IPS |
