GEEKOM A8
Geekbench AI Score
4245
Single Precision Score
1870
Half Precision Score
7471
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| Upload Date | June 08 2025 09:30 AM |
| Views | 24 |
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 A8 |
| Motherboard | Default string A8 |
| 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% |
3744
696.4 IPS |
|
|
Image Classification (HP)
|
100% |
688
127.9 IPS |
|
|
Image Classification (Q)
|
99% |
8662
1.62 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1302
21.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
928
15.0 IPS |
|
|
Image Segmentation (Q)
|
98% |
3967
64.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
7638
8.91 IPS |
|
|
Pose Estimation (HP)
|
100% |
6214
7.25 IPS |
|
|
Pose Estimation (Q)
|
94% |
26642
31.2 IPS |
|
|
Object Detection (SP)
|
100% |
3378
268.0 IPS |
|
|
Object Detection (HP)
|
100% |
899
71.3 IPS |
|
|
Object Detection (Q)
|
86% |
8381
673.6 IPS |
|
|
Face Detection (SP)
|
100% |
6322
75.1 IPS |
|
|
Face Detection (HP)
|
100% |
1923
22.9 IPS |
|
|
Face Detection (Q)
|
97% |
11281
134.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
9870
76.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
2885
22.2 IPS |
|
|
Depth Estimation (Q)
|
78% |
7750
61.8 IPS |
|
|
Style Transfer (SP)
|
100% |
17765
22.8 IPS |
|
|
Style Transfer (HP)
|
100% |
15329
19.7 IPS |
|
|
Style Transfer (Q)
|
98% |
28850
37.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2828
104.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2627
97.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3784
140.1 IPS |
|
|
Text Classification (SP)
|
100% |
1895
2.53 KIPS |
|
|
Text Classification (HP)
|
100% |
800
1.07 KIPS |
|
|
Text Classification (Q)
|
97% |
1947
2.61 KIPS |
|
|
Machine Translation (SP)
|
100% |
2547
43.9 IPS |
|
|
Machine Translation (HP)
|
100% |
822
14.2 IPS |
|
|
Machine Translation (Q)
|
65% |
3804
76.4 IPS |
