N200 6/15 Default string Default string
Geekbench AI Score
548
Single Precision Score
540
Half Precision Score
348
Quantized Score
Geekbench AI 1.1.0 for Linux AVX2
Result Information
| User | Oleksandr |
| Upload Date | November 13 2024 01:41 PM |
| Views | 8 |
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% |
451
83.9 IPS |
|
|
Image Classification (HP)
|
100% |
452
84.0 IPS |
|
|
Image Classification (Q)
|
99% |
307
57.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
501
8.11 IPS |
|
|
Image Segmentation (HP)
|
100% |
500
8.11 IPS |
|
|
Image Segmentation (Q)
|
98% |
172
2.80 IPS |
|
|
Pose Estimation (SP)
|
100% |
496
0.58 IPS |
|
|
Pose Estimation (HP)
|
100% |
503
0.59 IPS |
|
|
Pose Estimation (Q)
|
96% |
465
0.55 IPS |
|
|
Object Detection (SP)
|
100% |
344
27.3 IPS |
|
|
Object Detection (HP)
|
100% |
331
26.2 IPS |
|
|
Object Detection (Q)
|
85% |
211
17.0 IPS |
|
|
Face Detection (SP)
|
100% |
768
9.13 IPS |
|
|
Face Detection (HP)
|
100% |
749
8.90 IPS |
|
|
Face Detection (Q)
|
97% |
592
7.06 IPS |
|
|
Depth Estimation (SP)
|
100% |
608
4.69 IPS |
|
|
Depth Estimation (HP)
|
99% |
601
4.63 IPS |
|
|
Depth Estimation (Q)
|
63% |
441
4.13 IPS |
|
|
Style Transfer (SP)
|
100% |
959
1.23 IPS |
|
|
Style Transfer (HP)
|
100% |
961
1.23 IPS |
|
|
Style Transfer (Q)
|
98% |
1134
1.46 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
340
12.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
303
11.2 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
293
10.8 IPS |
|
|
Text Classification (SP)
|
100% |
600
800.4 IPS |
|
|
Text Classification (HP)
|
100% |
615
820.7 IPS |
|
|
Text Classification (Q)
|
92% |
287
386.2 IPS |
|
|
Machine Translation (SP)
|
100% |
697
12.0 IPS |
|
|
Machine Translation (HP)
|
100% |
699
12.0 IPS |
|
|
Machine Translation (Q)
|
58% |
202
4.75 IPS |
