N200 10/15 Default string Default string
Geekbench AI Score
610
Single Precision Score
608
Half Precision Score
414
Quantized Score
Geekbench AI 1.1.0 for Linux AVX2
Result Information
| User | Oleksandr |
| Upload Date | November 13 2024 02:16 PM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | Intel N200 |
| System Information | |
|---|---|
| Operating System | Ubuntu 24.04.1 LTS |
| Model | Default string Default string |
| Motherboard | Default string Default string |
| CPU Information | |
|---|---|
| Name | Intel N200 |
| Topology | 1 Processor, 4 Cores |
| Identifier | GenuineIntel Family 6 Model 190 Stepping 0 |
| Base Frequency | 3.70 GHz |
| Cluster 1 | 0 Cores |
| Memory Information | |
|---|---|
| Size | 31.03 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
425
79.1 IPS |
|
|
Image Classification (HP)
|
100% |
421
78.3 IPS |
|
|
Image Classification (Q)
|
99% |
295
54.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
514
8.33 IPS |
|
|
Image Segmentation (HP)
|
100% |
508
8.24 IPS |
|
|
Image Segmentation (Q)
|
98% |
342
5.57 IPS |
|
|
Pose Estimation (SP)
|
100% |
724
0.84 IPS |
|
|
Pose Estimation (HP)
|
100% |
701
0.82 IPS |
|
|
Pose Estimation (Q)
|
96% |
600
0.70 IPS |
|
|
Object Detection (SP)
|
100% |
371
29.4 IPS |
|
|
Object Detection (HP)
|
100% |
376
29.8 IPS |
|
|
Object Detection (Q)
|
85% |
276
22.2 IPS |
|
|
Face Detection (SP)
|
100% |
860
10.2 IPS |
|
|
Face Detection (HP)
|
100% |
861
10.2 IPS |
|
|
Face Detection (Q)
|
97% |
670
7.99 IPS |
|
|
Depth Estimation (SP)
|
100% |
772
5.95 IPS |
|
|
Depth Estimation (HP)
|
99% |
770
5.93 IPS |
|
|
Depth Estimation (Q)
|
63% |
528
4.95 IPS |
|
|
Style Transfer (SP)
|
100% |
1260
1.62 IPS |
|
|
Style Transfer (HP)
|
100% |
1257
1.62 IPS |
|
|
Style Transfer (Q)
|
98% |
1335
1.72 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
375
13.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
372
13.7 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
325
12.0 IPS |
|
|
Text Classification (SP)
|
100% |
508
677.4 IPS |
|
|
Text Classification (HP)
|
100% |
511
681.5 IPS |
|
|
Text Classification (Q)
|
92% |
249
333.9 IPS |
|
|
Machine Translation (SP)
|
100% |
771
13.3 IPS |
|
|
Machine Translation (HP)
|
100% |
781
13.5 IPS |
|
|
Machine Translation (Q)
|
58% |
235
5.51 IPS |
