nuc ubuntu banf_avx2 Default string Default string
Geekbench AI Score
567
Single Precision Score
570
Half Precision Score
427
Quantized Score
Geekbench AI 1.5.0 for Linux AVX2
Result Information
| User | kyfgsdkyhsdmhgfvd |
| Upload Date | October 21 2025 05:23 PM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | Intel(R) N150 |
| System Information | |
|---|---|
| Operating System | Ubuntu 24.04.3 LTS |
| Model | Default string Default string |
| Motherboard | Default string Default string |
| CPU Information | |
|---|---|
| Name | Intel(R) N150 |
| 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 | 15.40 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
379
70.5 IPS |
|
|
Image Classification (HP)
|
100% |
381
70.8 IPS |
|
|
Image Classification (Q)
|
99% |
278
51.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
450
7.29 IPS |
|
|
Image Segmentation (HP)
|
100% |
453
7.34 IPS |
|
|
Image Segmentation (Q)
|
98% |
333
5.42 IPS |
|
|
Pose Estimation (SP)
|
100% |
640
0.75 IPS |
|
|
Pose Estimation (HP)
|
100% |
644
0.75 IPS |
|
|
Pose Estimation (Q)
|
96% |
609
0.71 IPS |
|
|
Object Detection (SP)
|
100% |
365
29.0 IPS |
|
|
Object Detection (HP)
|
100% |
366
29.0 IPS |
|
|
Object Detection (Q)
|
85% |
286
23.0 IPS |
|
|
Face Detection (SP)
|
100% |
713
8.47 IPS |
|
|
Face Detection (HP)
|
100% |
715
8.49 IPS |
|
|
Face Detection (Q)
|
97% |
700
8.35 IPS |
|
|
Depth Estimation (SP)
|
100% |
686
5.29 IPS |
|
|
Depth Estimation (HP)
|
99% |
690
5.31 IPS |
|
|
Depth Estimation (Q)
|
63% |
543
5.10 IPS |
|
|
Style Transfer (SP)
|
100% |
1040
1.34 IPS |
|
|
Style Transfer (HP)
|
100% |
1042
1.34 IPS |
|
|
Style Transfer (Q)
|
98% |
1398
1.80 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
374
13.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
374
13.8 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
360
13.3 IPS |
|
|
Text Classification (SP)
|
100% |
605
808.0 IPS |
|
|
Text Classification (HP)
|
100% |
611
816.0 IPS |
|
|
Text Classification (Q)
|
92% |
267
358.0 IPS |
|
|
Machine Translation (SP)
|
100% |
750
12.9 IPS |
|
|
Machine Translation (HP)
|
100% |
769
13.3 IPS |
|
|
Machine Translation (Q)
|
58% |
249
5.84 IPS |
