TB WTR R1 N100 10/15 TB WTR R1
Geekbench AI Score
574
Single Precision Score
567
Half Precision Score
411
Quantized Score
Geekbench AI 1.1.0 for Linux AVX2
Result Information
| User | Oleksandr |
| Upload Date | November 13 2024 02:39 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% |
405
75.2 IPS |
|
|
Image Classification (HP)
|
100% |
404
75.2 IPS |
|
|
Image Classification (Q)
|
99% |
279
52.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
493
7.99 IPS |
|
|
Image Segmentation (HP)
|
100% |
493
8.00 IPS |
|
|
Image Segmentation (Q)
|
98% |
331
5.38 IPS |
|
|
Pose Estimation (SP)
|
100% |
536
0.62 IPS |
|
|
Pose Estimation (HP)
|
100% |
542
0.63 IPS |
|
|
Pose Estimation (Q)
|
96% |
522
0.61 IPS |
|
|
Object Detection (SP)
|
100% |
389
30.9 IPS |
|
|
Object Detection (HP)
|
100% |
384
30.4 IPS |
|
|
Object Detection (Q)
|
85% |
286
23.0 IPS |
|
|
Face Detection (SP)
|
100% |
767
9.12 IPS |
|
|
Face Detection (HP)
|
100% |
756
8.98 IPS |
|
|
Face Detection (Q)
|
97% |
712
8.49 IPS |
|
|
Depth Estimation (SP)
|
100% |
649
5.00 IPS |
|
|
Depth Estimation (HP)
|
99% |
640
4.93 IPS |
|
|
Depth Estimation (Q)
|
63% |
505
4.73 IPS |
|
|
Style Transfer (SP)
|
100% |
969
1.25 IPS |
|
|
Style Transfer (HP)
|
100% |
978
1.26 IPS |
|
|
Style Transfer (Q)
|
98% |
1254
1.62 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
375
13.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
369
13.6 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
358
13.3 IPS |
|
|
Text Classification (SP)
|
100% |
618
825.0 IPS |
|
|
Text Classification (HP)
|
100% |
619
825.6 IPS |
|
|
Text Classification (Q)
|
92% |
267
358.3 IPS |
|
|
Machine Translation (SP)
|
100% |
848
14.6 IPS |
|
|
Machine Translation (HP)
|
100% |
779
13.4 IPS |
|
|
Machine Translation (Q)
|
58% |
233
5.47 IPS |
