GEEKOM AX8Pro
Geekbench AI Score
3988
Single Precision Score
1868
Half Precision Score
7341
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| Upload Date | December 22 2024 12:08 PM |
| 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 AX8Pro |
| Motherboard | Default string AX8 Pro |
| 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 | 64.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2287
425.2 IPS |
|
|
Image Classification (HP)
|
100% |
694
129.1 IPS |
|
|
Image Classification (Q)
|
99% |
8576
1.60 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1111
18.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
863
14.0 IPS |
|
|
Image Segmentation (Q)
|
98% |
3749
61.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
7874
9.19 IPS |
|
|
Pose Estimation (HP)
|
100% |
6394
7.46 IPS |
|
|
Pose Estimation (Q)
|
94% |
26557
31.1 IPS |
|
|
Object Detection (SP)
|
100% |
3400
269.7 IPS |
|
|
Object Detection (HP)
|
100% |
876
69.5 IPS |
|
|
Object Detection (Q)
|
86% |
8039
646.1 IPS |
|
|
Face Detection (SP)
|
100% |
6832
81.2 IPS |
|
|
Face Detection (HP)
|
100% |
1924
22.9 IPS |
|
|
Face Detection (Q)
|
97% |
11543
137.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
9319
71.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
2894
22.3 IPS |
|
|
Depth Estimation (Q)
|
78% |
8004
63.9 IPS |
|
|
Style Transfer (SP)
|
100% |
18083
23.2 IPS |
|
|
Style Transfer (HP)
|
100% |
15820
20.3 IPS |
|
|
Style Transfer (Q)
|
98% |
31430
40.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2966
109.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2688
99.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3828
141.7 IPS |
|
|
Text Classification (SP)
|
100% |
1913
2.55 KIPS |
|
|
Text Classification (HP)
|
100% |
836
1.12 KIPS |
|
|
Text Classification (Q)
|
97% |
1950
2.61 KIPS |
|
|
Machine Translation (SP)
|
100% |
2291
39.5 IPS |
|
|
Machine Translation (HP)
|
100% |
783
13.5 IPS |
|
|
Machine Translation (Q)
|
65% |
3055
61.4 IPS |
