GEEKOM AE8
Geekbench AI Score
7355
Single Precision Score
11332
Half Precision Score
5537
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| User | catjesus |
| Upload Date | May 27 2025 03:18 AM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | AMD Radeon 780M Graphics |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | GEEKOM AE8 |
| Motherboard | Default string AE8 |
| 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 | 128.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2602
483.9 IPS |
|
|
Image Classification (HP)
|
100% |
4450
827.5 IPS |
|
|
Image Classification (Q)
|
100% |
2207
410.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
3959
64.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
4834
78.4 IPS |
|
|
Image Segmentation (Q)
|
98% |
3243
52.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
36930
43.1 IPS |
|
|
Pose Estimation (HP)
|
100% |
69211
80.8 IPS |
|
|
Pose Estimation (Q)
|
96% |
27614
32.3 IPS |
|
|
Object Detection (SP)
|
100% |
2547
202.0 IPS |
|
|
Object Detection (HP)
|
100% |
3306
262.2 IPS |
|
|
Object Detection (Q)
|
87% |
2337
187.7 IPS |
|
|
Face Detection (SP)
|
100% |
5952
70.7 IPS |
|
|
Face Detection (HP)
|
100% |
10583
125.7 IPS |
|
|
Face Detection (Q)
|
97% |
5059
60.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
16331
125.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
24813
191.2 IPS |
|
|
Depth Estimation (Q)
|
77% |
12818
102.8 IPS |
|
|
Style Transfer (SP)
|
100% |
61472
79.0 IPS |
|
|
Style Transfer (HP)
|
100% |
107290
137.9 IPS |
|
|
Style Transfer (Q)
|
98% |
43346
55.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
10113
373.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
22358
825.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
7369
272.9 IPS |
|
|
Text Classification (SP)
|
100% |
2390
3.19 KIPS |
|
|
Text Classification (HP)
|
100% |
3314
4.42 KIPS |
|
|
Text Classification (Q)
|
97% |
1732
2.32 KIPS |
|
|
Machine Translation (SP)
|
100% |
3313
57.1 IPS |
|
|
Machine Translation (HP)
|
100% |
3399
58.5 IPS |
|
|
Machine Translation (Q)
|
70% |
1637
30.7 IPS |
