GEEKOM AE8
Geekbench AI Score
5990
Single Precision Score
5988
Half Precision Score
16834
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| User | catjesus |
| Upload Date | May 27 2025 03:11 AM |
| Views | 3 |
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 |
| 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% |
3899
725.1 IPS |
|
|
Image Classification (HP)
|
100% |
3888
723.0 IPS |
|
|
Image Classification (Q)
|
100% |
11039
2.05 KIPS |
|
|
Image Segmentation (SP)
|
100% |
4178
67.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
4152
67.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
11777
190.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
7598
8.87 IPS |
|
|
Pose Estimation (HP)
|
100% |
7600
8.87 IPS |
|
|
Pose Estimation (Q)
|
98% |
30249
35.4 IPS |
|
|
Object Detection (SP)
|
100% |
3284
260.5 IPS |
|
|
Object Detection (HP)
|
100% |
3338
264.8 IPS |
|
|
Object Detection (Q)
|
88% |
11051
885.9 IPS |
|
|
Face Detection (SP)
|
100% |
7763
92.2 IPS |
|
|
Face Detection (HP)
|
100% |
7654
90.9 IPS |
|
|
Face Detection (Q)
|
100% |
26823
318.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
9611
74.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
9489
73.1 IPS |
|
|
Depth Estimation (Q)
|
88% |
27741
215.9 IPS |
|
|
Style Transfer (SP)
|
100% |
20804
26.7 IPS |
|
|
Style Transfer (HP)
|
100% |
20734
26.7 IPS |
|
|
Style Transfer (Q)
|
98% |
81203
104.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4520
166.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4546
167.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
16096
596.1 IPS |
|
|
Text Classification (SP)
|
100% |
3891
5.19 KIPS |
|
|
Text Classification (HP)
|
100% |
3923
5.24 KIPS |
|
|
Text Classification (Q)
|
92% |
5739
7.71 KIPS |
|
|
Machine Translation (SP)
|
100% |
5367
92.4 IPS |
|
|
Machine Translation (HP)
|
100% |
5391
92.9 IPS |
|
|
Machine Translation (Q)
|
100% |
7537
129.8 IPS |
