GEEKOM A8
Geekbench AI Score
4562
Single Precision Score
1956
Half Precision Score
8614
Quantized Score
Geekbench AI 1.4.0 for Windows AVX2
Result Information
| Upload Date | August 26 2025 08:46 AM |
| Views | 5 |
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 |
| 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 | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
3887
722.8 IPS |
|
|
Image Classification (HP)
|
100% |
755
140.3 IPS |
|
|
Image Classification (Q)
|
99% |
8696
1.62 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1774
28.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
875
14.2 IPS |
|
|
Image Segmentation (Q)
|
98% |
10316
167.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
7575
8.84 IPS |
|
|
Pose Estimation (HP)
|
100% |
6014
7.02 IPS |
|
|
Pose Estimation (Q)
|
94% |
25441
29.8 IPS |
|
|
Object Detection (SP)
|
100% |
3486
276.5 IPS |
|
|
Object Detection (HP)
|
100% |
924
73.3 IPS |
|
|
Object Detection (Q)
|
86% |
8329
669.4 IPS |
|
|
Face Detection (SP)
|
100% |
6957
82.7 IPS |
|
|
Face Detection (HP)
|
100% |
1958
23.3 IPS |
|
|
Face Detection (Q)
|
97% |
11322
135.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
9963
76.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
2886
22.2 IPS |
|
|
Depth Estimation (Q)
|
78% |
7769
62.0 IPS |
|
|
Style Transfer (SP)
|
100% |
18250
23.5 IPS |
|
|
Style Transfer (HP)
|
100% |
15157
19.5 IPS |
|
|
Style Transfer (Q)
|
98% |
29787
38.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2911
107.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2754
101.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
6820
252.5 IPS |
|
|
Text Classification (SP)
|
100% |
2273
3.03 KIPS |
|
|
Text Classification (HP)
|
100% |
940
1.25 KIPS |
|
|
Text Classification (Q)
|
97% |
1774
2.38 KIPS |
|
|
Machine Translation (SP)
|
100% |
2567
44.2 IPS |
|
|
Machine Translation (HP)
|
100% |
1010
17.4 IPS |
|
|
Machine Translation (Q)
|
65% |
3736
75.1 IPS |
