GEEKOM A8 MAX
Geekbench AI Score
5100
Single Precision Score
5160
Half Precision Score
15858
Quantized Score
Geekbench AI 1.6.0 for Windows AVX2
Result Information
| Upload Date | January 04 2026 10:09 AM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | AMD Ryzen 9 8945HS w/ Radeon 780M Graphics |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | GEEKOM A8 MAX |
| Motherboard | Default string A8 MAX |
| Power Plan | Ausbalanciert |
| 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% |
3086
573.9 IPS |
|
|
Image Classification (HP)
|
100% |
3108
577.9 IPS |
|
|
Image Classification (Q)
|
100% |
11041
2.05 KIPS |
|
|
Image Segmentation (SP)
|
100% |
3307
53.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
3886
63.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
9336
151.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
7468
8.71 IPS |
|
|
Pose Estimation (HP)
|
100% |
7628
8.90 IPS |
|
|
Pose Estimation (Q)
|
98% |
30466
35.7 IPS |
|
|
Object Detection (SP)
|
100% |
2627
208.4 IPS |
|
|
Object Detection (HP)
|
100% |
2406
190.9 IPS |
|
|
Object Detection (Q)
|
88% |
9508
762.2 IPS |
|
|
Face Detection (SP)
|
100% |
5647
67.1 IPS |
|
|
Face Detection (HP)
|
100% |
5578
66.3 IPS |
|
|
Face Detection (Q)
|
100% |
25340
301.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
8418
64.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
8436
65.0 IPS |
|
|
Depth Estimation (Q)
|
88% |
26053
202.7 IPS |
|
|
Style Transfer (SP)
|
100% |
20018
25.7 IPS |
|
|
Style Transfer (HP)
|
100% |
19688
25.3 IPS |
|
|
Style Transfer (Q)
|
98% |
82684
106.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4326
159.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4344
160.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
15842
586.7 IPS |
|
|
Text Classification (SP)
|
100% |
3855
5.15 KIPS |
|
|
Text Classification (HP)
|
100% |
3826
5.11 KIPS |
|
|
Text Classification (Q)
|
92% |
5764
7.74 KIPS |
|
|
Machine Translation (SP)
|
100% |
3750
64.6 IPS |
|
|
Machine Translation (HP)
|
100% |
3925
67.6 IPS |
|
|
Machine Translation (Q)
|
100% |
6759
116.4 IPS |
