GEEKOM A8
Geekbench AI Score
6326
Single Precision Score
6279
Half Precision Score
17498
Quantized Score
Geekbench AI 1.4.0 for Windows AVX2
Result Information
| Upload Date | August 26 2025 08:41 AM |
| Views | 8 |
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 |
| 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% |
4097
761.9 IPS |
|
|
Image Classification (HP)
|
100% |
4033
750.1 IPS |
|
|
Image Classification (Q)
|
100% |
11504
2.14 KIPS |
|
|
Image Segmentation (SP)
|
100% |
4707
76.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
4312
69.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
12552
203.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
7862
9.17 IPS |
|
|
Pose Estimation (HP)
|
100% |
7783
9.08 IPS |
|
|
Pose Estimation (Q)
|
98% |
30937
36.2 IPS |
|
|
Object Detection (SP)
|
100% |
3526
279.7 IPS |
|
|
Object Detection (HP)
|
100% |
3531
280.1 IPS |
|
|
Object Detection (Q)
|
88% |
11479
920.2 IPS |
|
|
Face Detection (SP)
|
100% |
8074
95.9 IPS |
|
|
Face Detection (HP)
|
100% |
8115
96.4 IPS |
|
|
Face Detection (Q)
|
100% |
27645
328.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
9879
76.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
9940
76.6 IPS |
|
|
Depth Estimation (Q)
|
88% |
29180
227.1 IPS |
|
|
Style Transfer (SP)
|
100% |
21667
27.9 IPS |
|
|
Style Transfer (HP)
|
100% |
21901
28.2 IPS |
|
|
Style Transfer (Q)
|
98% |
83348
107.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4764
175.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4784
176.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
16291
603.3 IPS |
|
|
Text Classification (SP)
|
100% |
3942
5.26 KIPS |
|
|
Text Classification (HP)
|
100% |
4016
5.36 KIPS |
|
|
Text Classification (Q)
|
92% |
5812
7.81 KIPS |
|
|
Machine Translation (SP)
|
100% |
5919
102.0 IPS |
|
|
Machine Translation (HP)
|
100% |
5881
101.3 IPS |
|
|
Machine Translation (Q)
|
100% |
8245
142.0 IPS |
