GMKtec NucBoxG5
Geekbench AI Score
630
Single Precision Score
633
Half Precision Score
429
Quantized Score
Geekbench AI 1.5.0 for Linux AVX2
Result Information
| User | szaki |
| Upload Date | October 25 2025 10:42 PM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | Intel N97 |
| System Information | |
|---|---|
| Operating System | CachyOS |
| 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 | 11.43 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
428
79.6 IPS |
|
|
Image Classification (HP)
|
100% |
417
77.6 IPS |
|
|
Image Classification (Q)
|
99% |
277
51.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
504
8.18 IPS |
|
|
Image Segmentation (HP)
|
100% |
507
8.23 IPS |
|
|
Image Segmentation (Q)
|
98% |
330
5.37 IPS |
|
|
Pose Estimation (SP)
|
100% |
708
0.83 IPS |
|
|
Pose Estimation (HP)
|
100% |
696
0.81 IPS |
|
|
Pose Estimation (Q)
|
96% |
612
0.72 IPS |
|
|
Object Detection (SP)
|
100% |
384
30.5 IPS |
|
|
Object Detection (HP)
|
100% |
388
30.8 IPS |
|
|
Object Detection (Q)
|
85% |
286
23.0 IPS |
|
|
Face Detection (SP)
|
100% |
861
10.2 IPS |
|
|
Face Detection (HP)
|
100% |
873
10.4 IPS |
|
|
Face Detection (Q)
|
97% |
699
8.34 IPS |
|
|
Depth Estimation (SP)
|
100% |
787
6.06 IPS |
|
|
Depth Estimation (HP)
|
99% |
788
6.07 IPS |
|
|
Depth Estimation (Q)
|
63% |
547
5.13 IPS |
|
|
Style Transfer (SP)
|
100% |
1261
1.62 IPS |
|
|
Style Transfer (HP)
|
100% |
1258
1.62 IPS |
|
|
Style Transfer (Q)
|
98% |
1450
1.87 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
404
14.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
408
15.0 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
356
13.2 IPS |
|
|
Text Classification (SP)
|
100% |
577
770.0 IPS |
|
|
Text Classification (HP)
|
100% |
589
785.9 IPS |
|
|
Text Classification (Q)
|
92% |
265
355.8 IPS |
|
|
Machine Translation (SP)
|
100% |
854
14.7 IPS |
|
|
Machine Translation (HP)
|
100% |
870
15.0 IPS |
|
|
Machine Translation (Q)
|
58% |
257
6.03 IPS |
