GEEKOM AE8
Geekbench AI Score
5259
Single Precision Score
5217
Half Precision Score
15010
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| Upload Date | December 03 2024 11:52 PM |
| Views | 2 |
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 AE8 |
| Motherboard | Default string AE8 |
| 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% |
3416
635.2 IPS |
|
|
Image Classification (HP)
|
100% |
3458
643.2 IPS |
|
|
Image Classification (Q)
|
100% |
10629
1.98 KIPS |
|
|
Image Segmentation (SP)
|
100% |
3697
59.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
3614
58.6 IPS |
|
|
Image Segmentation (Q)
|
99% |
11082
179.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
6541
7.63 IPS |
|
|
Pose Estimation (HP)
|
100% |
6468
7.55 IPS |
|
|
Pose Estimation (Q)
|
98% |
27504
32.2 IPS |
|
|
Object Detection (SP)
|
100% |
2758
218.8 IPS |
|
|
Object Detection (HP)
|
100% |
3165
251.1 IPS |
|
|
Object Detection (Q)
|
88% |
9566
766.8 IPS |
|
|
Face Detection (SP)
|
100% |
7081
84.1 IPS |
|
|
Face Detection (HP)
|
100% |
6947
82.5 IPS |
|
|
Face Detection (Q)
|
100% |
22800
270.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
8195
63.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
7835
60.4 IPS |
|
|
Depth Estimation (Q)
|
88% |
23689
184.3 IPS |
|
|
Style Transfer (SP)
|
100% |
18463
23.7 IPS |
|
|
Style Transfer (HP)
|
100% |
17997
23.1 IPS |
|
|
Style Transfer (Q)
|
98% |
76280
98.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3921
144.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
3665
135.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
15679
580.7 IPS |
|
|
Text Classification (SP)
|
100% |
3863
5.16 KIPS |
|
|
Text Classification (HP)
|
100% |
3979
5.31 KIPS |
|
|
Text Classification (Q)
|
92% |
5959
8.01 KIPS |
|
|
Machine Translation (SP)
|
100% |
4377
75.4 IPS |
|
|
Machine Translation (HP)
|
100% |
4093
70.5 IPS |
|
|
Machine Translation (Q)
|
100% |
4868
83.9 IPS |
