TB WTR R1
Geekbench AI Score
622
Single Precision Score
621
Half Precision Score
426
Quantized Score
Geekbench AI 1.1.0 for Linux AVX2
Result Information
| User | Oleksandr |
| Upload Date | November 16 2024 12:08 PM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | Intel N100 |
| System Information | |
|---|---|
| Operating System | Ubuntu 24.04.1 LTS |
| Model | TB WTR R1 |
| Motherboard | TB WTR R1 |
| CPU Information | |
|---|---|
| Name | Intel N100 |
| Topology | 1 Processor, 4 Cores |
| Identifier | GenuineIntel Family 6 Model 190 Stepping 0 |
| Base Frequency | 3.40 GHz |
| Cluster 1 | 0 Cores |
| Memory Information | |
|---|---|
| Size | 15.30 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
417
77.6 IPS |
|
|
Image Classification (HP)
|
100% |
413
76.8 IPS |
|
|
Image Classification (Q)
|
99% |
275
51.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
503
8.15 IPS |
|
|
Image Segmentation (HP)
|
100% |
499
8.09 IPS |
|
|
Image Segmentation (Q)
|
98% |
331
5.38 IPS |
|
|
Pose Estimation (SP)
|
100% |
701
0.82 IPS |
|
|
Pose Estimation (HP)
|
100% |
705
0.82 IPS |
|
|
Pose Estimation (Q)
|
96% |
606
0.71 IPS |
|
|
Object Detection (SP)
|
100% |
405
32.1 IPS |
|
|
Object Detection (HP)
|
100% |
398
31.6 IPS |
|
|
Object Detection (Q)
|
85% |
285
23.0 IPS |
|
|
Face Detection (SP)
|
100% |
786
9.34 IPS |
|
|
Face Detection (HP)
|
100% |
786
9.35 IPS |
|
|
Face Detection (Q)
|
97% |
709
8.46 IPS |
|
|
Depth Estimation (SP)
|
100% |
749
5.77 IPS |
|
|
Depth Estimation (HP)
|
99% |
757
5.83 IPS |
|
|
Depth Estimation (Q)
|
63% |
546
5.12 IPS |
|
|
Style Transfer (SP)
|
100% |
1129
1.45 IPS |
|
|
Style Transfer (HP)
|
100% |
1129
1.45 IPS |
|
|
Style Transfer (Q)
|
98% |
1422
1.83 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
419
15.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
420
15.5 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
355
13.1 IPS |
|
|
Text Classification (SP)
|
100% |
613
817.8 IPS |
|
|
Text Classification (HP)
|
100% |
617
824.2 IPS |
|
|
Text Classification (Q)
|
92% |
262
352.4 IPS |
|
|
Machine Translation (SP)
|
100% |
858
14.8 IPS |
|
|
Machine Translation (HP)
|
100% |
850
14.6 IPS |
|
|
Machine Translation (Q)
|
58% |
247
5.80 IPS |
