GMKtec NucBoxG5
Geekbench AI Score
640
Single Precision Score
638
Half Precision Score
426
Quantized Score
Geekbench AI 1.2.0 for Linux AVX2
Result Information
| User | ohoel |
| Upload Date | January 26 2025 09:02 PM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | Intel N97 |
| System Information | |
|---|---|
| Operating System | Ubuntu 24.10 |
| 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 | 10.96 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
418
77.7 IPS |
|
|
Image Classification (HP)
|
100% |
418
77.7 IPS |
|
|
Image Classification (Q)
|
99% |
271
50.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
531
8.61 IPS |
|
|
Image Segmentation (HP)
|
100% |
531
8.61 IPS |
|
|
Image Segmentation (Q)
|
98% |
330
5.36 IPS |
|
|
Pose Estimation (SP)
|
100% |
734
0.86 IPS |
|
|
Pose Estimation (HP)
|
100% |
708
0.83 IPS |
|
|
Pose Estimation (Q)
|
96% |
607
0.71 IPS |
|
|
Object Detection (SP)
|
100% |
386
30.6 IPS |
|
|
Object Detection (HP)
|
100% |
390
30.9 IPS |
|
|
Object Detection (Q)
|
85% |
283
22.8 IPS |
|
|
Face Detection (SP)
|
100% |
866
10.3 IPS |
|
|
Face Detection (HP)
|
100% |
871
10.4 IPS |
|
|
Face Detection (Q)
|
97% |
701
8.36 IPS |
|
|
Depth Estimation (SP)
|
100% |
789
6.08 IPS |
|
|
Depth Estimation (HP)
|
99% |
788
6.07 IPS |
|
|
Depth Estimation (Q)
|
63% |
547
5.13 IPS |
|
|
Style Transfer (SP)
|
100% |
1259
1.62 IPS |
|
|
Style Transfer (HP)
|
100% |
1253
1.61 IPS |
|
|
Style Transfer (Q)
|
98% |
1444
1.86 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
412
15.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
411
15.2 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
352
13.0 IPS |
|
|
Text Classification (SP)
|
100% |
591
788.6 IPS |
|
|
Text Classification (HP)
|
100% |
594
793.4 IPS |
|
|
Text Classification (Q)
|
92% |
262
351.3 IPS |
|
|
Machine Translation (SP)
|
100% |
884
15.2 IPS |
|
|
Machine Translation (HP)
|
100% |
880
15.2 IPS |
|
|
Machine Translation (Q)
|
58% |
255
6.00 IPS |
