youyeetoo Nest Disk
Geekbench AI Score
427
Single Precision Score
431
Half Precision Score
269
Quantized Score
Geekbench AI 1.7.0 for Linux AVX2
Result Information
| User | Pcdemano |
| Upload Date | March 06 2026 12:08 PM |
| Views | 12 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | Intel(R) N150 |
| System Information | |
|---|---|
| Operating System | Debian GNU/Linux 12 (bookworm) |
| Model | youyeetoo Nest Disk |
| Motherboard | youyeetoo Nest Disk |
| 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 | 11.42 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
427
79.5 IPS |
|
|
Image Classification (HP)
|
100% |
428
79.6 IPS |
|
|
Image Classification (Q)
|
99% |
161
30.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
369
5.98 IPS |
|
|
Image Segmentation (HP)
|
100% |
398
6.46 IPS |
|
|
Image Segmentation (Q)
|
98% |
227
3.68 IPS |
|
|
Pose Estimation (SP)
|
100% |
378
0.44 IPS |
|
|
Pose Estimation (HP)
|
100% |
383
0.45 IPS |
|
|
Pose Estimation (Q)
|
96% |
341
0.40 IPS |
|
|
Object Detection (SP)
|
100% |
235
18.6 IPS |
|
|
Object Detection (HP)
|
100% |
235
18.7 IPS |
|
|
Object Detection (Q)
|
85% |
171
13.8 IPS |
|
|
Face Detection (SP)
|
100% |
548
6.51 IPS |
|
|
Face Detection (HP)
|
100% |
548
6.52 IPS |
|
|
Face Detection (Q)
|
97% |
427
5.09 IPS |
|
|
Depth Estimation (SP)
|
100% |
451
3.47 IPS |
|
|
Depth Estimation (HP)
|
99% |
439
3.38 IPS |
|
|
Depth Estimation (Q)
|
63% |
324
3.03 IPS |
|
|
Style Transfer (SP)
|
100% |
766
0.98 IPS |
|
|
Style Transfer (HP)
|
100% |
770
0.99 IPS |
|
|
Style Transfer (Q)
|
98% |
834
1.07 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
242
8.93 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
244
9.00 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
212
7.85 IPS |
|
|
Text Classification (SP)
|
100% |
619
826.3 IPS |
|
|
Text Classification (HP)
|
100% |
609
813.1 IPS |
|
|
Text Classification (Q)
|
92% |
241
324.4 IPS |
|
|
Machine Translation (SP)
|
100% |
515
8.87 IPS |
|
|
Machine Translation (HP)
|
100% |
529
9.12 IPS |
|
|
Machine Translation (Q)
|
58% |
159
3.74 IPS |
