GMKtec NucBoxG5
Geekbench AI Score
613
Single Precision Score
610
Half Precision Score
408
Quantized Score
Geekbench AI 1.3.0 for Linux AVX2
Result Information
| User | over_time_ |
| Upload Date | May 24 2025 05:28 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | Intel N97 |
| System Information | |
|---|---|
| Operating System | Kali GNU/Linux Rolling |
| Model | GMKtec NucBoxG5 |
| Motherboard | GMKtec GMKtec |
| CPU Information | |
|---|---|
| Name | Intel N97 |
| Topology | 1 Processor, 4 Cores |
| Identifier | GenuineIntel Family 6 Model 190 Stepping 0 |
| Base Frequency | 3.60 GHz |
| Cluster 1 | 0 Cores |
| Memory Information | |
|---|---|
| Size | 11.44 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
406
75.6 IPS |
|
|
Image Classification (HP)
|
100% |
400
74.3 IPS |
|
|
Image Classification (Q)
|
99% |
268
50.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
494
8.00 IPS |
|
|
Image Segmentation (HP)
|
100% |
497
8.05 IPS |
|
|
Image Segmentation (Q)
|
98% |
329
5.35 IPS |
|
|
Pose Estimation (SP)
|
100% |
633
0.74 IPS |
|
|
Pose Estimation (HP)
|
100% |
638
0.74 IPS |
|
|
Pose Estimation (Q)
|
96% |
545
0.64 IPS |
|
|
Object Detection (SP)
|
100% |
381
30.2 IPS |
|
|
Object Detection (HP)
|
100% |
389
30.9 IPS |
|
|
Object Detection (Q)
|
85% |
273
22.0 IPS |
|
|
Face Detection (SP)
|
100% |
846
10.1 IPS |
|
|
Face Detection (HP)
|
100% |
846
10.1 IPS |
|
|
Face Detection (Q)
|
97% |
699
8.34 IPS |
|
|
Depth Estimation (SP)
|
100% |
776
5.98 IPS |
|
|
Depth Estimation (HP)
|
99% |
738
5.68 IPS |
|
|
Depth Estimation (Q)
|
63% |
535
5.01 IPS |
|
|
Style Transfer (SP)
|
100% |
1204
1.55 IPS |
|
|
Style Transfer (HP)
|
100% |
1213
1.56 IPS |
|
|
Style Transfer (Q)
|
98% |
1318
1.70 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
402
14.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
390
14.4 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
318
11.8 IPS |
|
|
Text Classification (SP)
|
100% |
617
823.9 IPS |
|
|
Text Classification (HP)
|
100% |
611
815.7 IPS |
|
|
Text Classification (Q)
|
92% |
266
357.8 IPS |
|
|
Machine Translation (SP)
|
100% |
800
13.8 IPS |
|
|
Machine Translation (HP)
|
100% |
806
13.9 IPS |
|
|
Machine Translation (Q)
|
58% |
237
5.55 IPS |
