Firebat N100 N/A
Geekbench AI Score
672
Single Precision Score
670
Half Precision Score
430
Quantized Score
Geekbench AI 1.2.0 for Linux AVX2
Result Information
| User | urostor |
| Upload Date | December 06 2024 10:51 PM |
| Views | 4 |
| Notes | 16 GB DDR5 4800 MHz, PL 25W |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | Intel N100 |
| System Information | |
|---|---|
| Operating System | Ubuntu 24.04.1 LTS |
| Model | N/A |
| Motherboard | N/A |
| 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 | 15.40 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
424
78.8 IPS |
|
|
Image Classification (HP)
|
100% |
424
78.8 IPS |
|
|
Image Classification (Q)
|
99% |
277
51.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
537
8.71 IPS |
|
|
Image Segmentation (HP)
|
100% |
534
8.66 IPS |
|
|
Image Segmentation (Q)
|
98% |
332
5.40 IPS |
|
|
Pose Estimation (SP)
|
100% |
763
0.89 IPS |
|
|
Pose Estimation (HP)
|
100% |
758
0.88 IPS |
|
|
Pose Estimation (Q)
|
96% |
611
0.72 IPS |
|
|
Object Detection (SP)
|
100% |
425
33.7 IPS |
|
|
Object Detection (HP)
|
100% |
425
33.7 IPS |
|
|
Object Detection (Q)
|
85% |
288
23.1 IPS |
|
|
Face Detection (SP)
|
100% |
911
10.8 IPS |
|
|
Face Detection (HP)
|
100% |
912
10.8 IPS |
|
|
Face Detection (Q)
|
97% |
718
8.56 IPS |
|
|
Depth Estimation (SP)
|
100% |
838
6.46 IPS |
|
|
Depth Estimation (HP)
|
99% |
824
6.35 IPS |
|
|
Depth Estimation (Q)
|
63% |
548
5.14 IPS |
|
|
Style Transfer (SP)
|
100% |
1309
1.68 IPS |
|
|
Style Transfer (HP)
|
100% |
1306
1.68 IPS |
|
|
Style Transfer (Q)
|
98% |
1450
1.87 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
447
16.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
448
16.5 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
358
13.3 IPS |
|
|
Text Classification (SP)
|
100% |
617
823.3 IPS |
|
|
Text Classification (HP)
|
100% |
616
822.7 IPS |
|
|
Text Classification (Q)
|
92% |
265
356.7 IPS |
|
|
Machine Translation (SP)
|
100% |
928
16.0 IPS |
|
|
Machine Translation (HP)
|
100% |
935
16.1 IPS |
|
|
Machine Translation (Q)
|
58% |
248
5.83 IPS |
