TB WTR R1 N100 15/25 TB WTR R1
Geekbench AI Score
630
Single Precision Score
628
Half Precision Score
431
Quantized Score
Geekbench AI 1.1.0 for Linux AVX2
Result Information
| User | Oleksandr |
| Upload Date | November 13 2024 02:51 PM |
| Views | 6 |
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% |
420
78.1 IPS |
|
|
Image Classification (HP)
|
100% |
419
77.8 IPS |
|
|
Image Classification (Q)
|
99% |
279
52.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
503
8.15 IPS |
|
|
Image Segmentation (HP)
|
100% |
506
8.21 IPS |
|
|
Image Segmentation (Q)
|
98% |
332
5.41 IPS |
|
|
Pose Estimation (SP)
|
100% |
712
0.83 IPS |
|
|
Pose Estimation (HP)
|
100% |
698
0.81 IPS |
|
|
Pose Estimation (Q)
|
96% |
612
0.72 IPS |
|
|
Object Detection (SP)
|
100% |
409
32.4 IPS |
|
|
Object Detection (HP)
|
100% |
409
32.5 IPS |
|
|
Object Detection (Q)
|
85% |
289
23.3 IPS |
|
|
Face Detection (SP)
|
100% |
797
9.47 IPS |
|
|
Face Detection (HP)
|
100% |
795
9.44 IPS |
|
|
Face Detection (Q)
|
97% |
721
8.60 IPS |
|
|
Depth Estimation (SP)
|
100% |
763
5.88 IPS |
|
|
Depth Estimation (HP)
|
99% |
762
5.87 IPS |
|
|
Depth Estimation (Q)
|
63% |
551
5.17 IPS |
|
|
Style Transfer (SP)
|
100% |
1142
1.47 IPS |
|
|
Style Transfer (HP)
|
100% |
1142
1.47 IPS |
|
|
Style Transfer (Q)
|
98% |
1438
1.85 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
425
15.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
424
15.7 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
359
13.3 IPS |
|
|
Text Classification (SP)
|
100% |
618
825.2 IPS |
|
|
Text Classification (HP)
|
100% |
618
825.0 IPS |
|
|
Text Classification (Q)
|
92% |
267
358.2 IPS |
|
|
Machine Translation (SP)
|
100% |
880
15.2 IPS |
|
|
Machine Translation (HP)
|
100% |
880
15.2 IPS |
|
|
Machine Translation (Q)
|
58% |
248
5.83 IPS |
