GEEKOM A8
Geekbench AI Score
3433
Single Precision Score
1702
Half Precision Score
5158
Quantized Score
Geekbench AI 1.1.0 for Windows AVX2
Result Information
| Upload Date | November 19 2024 10:26 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% |
2052
381.6 IPS |
|
|
Image Classification (HP)
|
100% |
599
111.5 IPS |
|
|
Image Classification (Q)
|
99% |
4808
896.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
1224
19.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
908
14.7 IPS |
|
|
Image Segmentation (Q)
|
98% |
3687
60.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
7050
8.23 IPS |
|
|
Pose Estimation (HP)
|
100% |
5605
6.54 IPS |
|
|
Pose Estimation (Q)
|
95% |
24696
28.9 IPS |
|
|
Object Detection (SP)
|
100% |
2348
186.2 IPS |
|
|
Object Detection (HP)
|
100% |
786
62.4 IPS |
|
|
Object Detection (Q)
|
88% |
2245
180.0 IPS |
|
|
Face Detection (SP)
|
100% |
3421
40.6 IPS |
|
|
Face Detection (HP)
|
100% |
1695
20.1 IPS |
|
|
Face Detection (Q)
|
97% |
5456
65.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
7629
58.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
2564
19.8 IPS |
|
|
Depth Estimation (Q)
|
77% |
5431
43.5 IPS |
|
|
Style Transfer (SP)
|
100% |
16649
21.4 IPS |
|
|
Style Transfer (HP)
|
100% |
14537
18.7 IPS |
|
|
Style Transfer (Q)
|
98% |
27263
35.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2750
101.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2421
89.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3662
135.6 IPS |
|
|
Text Classification (SP)
|
100% |
2054
2.74 KIPS |
|
|
Text Classification (HP)
|
100% |
788
1.05 KIPS |
|
|
Text Classification (Q)
|
97% |
1863
2.49 KIPS |
|
|
Machine Translation (SP)
|
100% |
2230
38.4 IPS |
|
|
Machine Translation (HP)
|
100% |
708
12.2 IPS |
|
|
Machine Translation (Q)
|
60% |
2465
55.0 IPS |
