TB WTR R1 N100 6/15 TB WTR R1
Geekbench AI Score
353
Single Precision Score
311
Half Precision Score
260
Quantized Score
Geekbench AI 1.1.0 for Linux AVX2
Result Information
| User | Oleksandr |
| Upload Date | November 13 2024 02:25 PM |
| Views | 8 |
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% |
404
75.1 IPS |
|
|
Image Classification (HP)
|
100% |
406
75.4 IPS |
|
|
Image Classification (Q)
|
99% |
278
51.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
490
7.95 IPS |
|
|
Image Segmentation (HP)
|
100% |
491
7.96 IPS |
|
|
Image Segmentation (Q)
|
98% |
332
5.40 IPS |
|
|
Pose Estimation (SP)
|
100% |
678
0.79 IPS |
|
|
Pose Estimation (HP)
|
100% |
239
0.28 IPS |
|
|
Pose Estimation (Q)
|
96% |
291
0.34 IPS |
|
|
Object Detection (SP)
|
100% |
174
13.8 IPS |
|
|
Object Detection (HP)
|
100% |
167
13.2 IPS |
|
|
Object Detection (Q)
|
85% |
149
12.0 IPS |
|
|
Face Detection (SP)
|
100% |
366
4.34 IPS |
|
|
Face Detection (HP)
|
100% |
337
4.01 IPS |
|
|
Face Detection (Q)
|
97% |
357
4.26 IPS |
|
|
Depth Estimation (SP)
|
100% |
283
2.18 IPS |
|
|
Depth Estimation (HP)
|
99% |
281
2.17 IPS |
|
|
Depth Estimation (Q)
|
63% |
280
2.62 IPS |
|
|
Style Transfer (SP)
|
100% |
420
0.54 IPS |
|
|
Style Transfer (HP)
|
100% |
433
0.56 IPS |
|
|
Style Transfer (Q)
|
98% |
669
0.86 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
162
5.97 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
153
5.65 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
187
6.94 IPS |
|
|
Text Classification (SP)
|
100% |
534
712.3 IPS |
|
|
Text Classification (HP)
|
100% |
519
693.4 IPS |
|
|
Text Classification (Q)
|
92% |
214
287.0 IPS |
|
|
Machine Translation (SP)
|
100% |
343
5.91 IPS |
|
|
Machine Translation (HP)
|
100% |
333
5.73 IPS |
|
|
Machine Translation (Q)
|
58% |
132
3.09 IPS |
