GEEKOM A8
Geekbench AI Score
3479
Single Precision Score
1752
Half Precision Score
5255
Quantized Score
Geekbench AI 1.1.0 for Windows AVX2
Result Information
| Upload Date | November 19 2024 10:22 AM |
| Views | 2 |
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% |
2109
392.2 IPS |
|
|
Image Classification (HP)
|
100% |
617
114.8 IPS |
|
|
Image Classification (Q)
|
99% |
4968
926.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
1008
16.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
912
14.8 IPS |
|
|
Image Segmentation (Q)
|
98% |
3617
58.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
7347
8.57 IPS |
|
|
Pose Estimation (HP)
|
100% |
5780
6.74 IPS |
|
|
Pose Estimation (Q)
|
95% |
24901
29.2 IPS |
|
|
Object Detection (SP)
|
100% |
2363
187.4 IPS |
|
|
Object Detection (HP)
|
100% |
797
63.2 IPS |
|
|
Object Detection (Q)
|
88% |
2285
183.2 IPS |
|
|
Face Detection (SP)
|
100% |
3519
41.8 IPS |
|
|
Face Detection (HP)
|
100% |
1742
20.7 IPS |
|
|
Face Detection (Q)
|
97% |
5531
65.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
8274
63.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
2689
20.7 IPS |
|
|
Depth Estimation (Q)
|
77% |
5793
46.4 IPS |
|
|
Style Transfer (SP)
|
100% |
17371
22.3 IPS |
|
|
Style Transfer (HP)
|
100% |
15062
19.4 IPS |
|
|
Style Transfer (Q)
|
98% |
27636
35.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2829
104.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2664
98.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3802
140.8 IPS |
|
|
Text Classification (SP)
|
100% |
2164
2.89 KIPS |
|
|
Text Classification (HP)
|
100% |
793
1.06 KIPS |
|
|
Text Classification (Q)
|
97% |
1819
2.44 KIPS |
|
|
Machine Translation (SP)
|
100% |
2276
39.2 IPS |
|
|
Machine Translation (HP)
|
100% |
708
12.2 IPS |
|
|
Machine Translation (Q)
|
60% |
2565
57.2 IPS |
