N/A
Geekbench AI Score
583
Single Precision Score
589
Half Precision Score
402
Quantized Score
Geekbench AI 1.5.0 for Linux AVX2
Result Information
| Upload Date | November 08 2025 03:19 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | Intel N100 |
| System Information | |
|---|---|
| Operating System | Ubuntu 24.04.3 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% |
355
66.0 IPS |
|
|
Image Classification (HP)
|
100% |
371
69.0 IPS |
|
|
Image Classification (Q)
|
99% |
245
45.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
470
7.62 IPS |
|
|
Image Segmentation (HP)
|
100% |
474
7.68 IPS |
|
|
Image Segmentation (Q)
|
98% |
317
5.16 IPS |
|
|
Pose Estimation (SP)
|
100% |
666
0.78 IPS |
|
|
Pose Estimation (HP)
|
100% |
664
0.77 IPS |
|
|
Pose Estimation (Q)
|
96% |
582
0.68 IPS |
|
|
Object Detection (SP)
|
100% |
355
28.1 IPS |
|
|
Object Detection (HP)
|
100% |
364
28.8 IPS |
|
|
Object Detection (Q)
|
85% |
263
21.2 IPS |
|
|
Face Detection (SP)
|
100% |
804
9.56 IPS |
|
|
Face Detection (HP)
|
100% |
801
9.52 IPS |
|
|
Face Detection (Q)
|
97% |
675
8.04 IPS |
|
|
Depth Estimation (SP)
|
100% |
721
5.56 IPS |
|
|
Depth Estimation (HP)
|
99% |
727
5.60 IPS |
|
|
Depth Estimation (Q)
|
63% |
522
4.89 IPS |
|
|
Style Transfer (SP)
|
100% |
1179
1.52 IPS |
|
|
Style Transfer (HP)
|
100% |
1174
1.51 IPS |
|
|
Style Transfer (Q)
|
98% |
1380
1.78 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
381
14.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
378
14.0 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
342
12.7 IPS |
|
|
Text Classification (SP)
|
100% |
565
753.7 IPS |
|
|
Text Classification (HP)
|
100% |
581
775.2 IPS |
|
|
Text Classification (Q)
|
92% |
251
337.7 IPS |
|
|
Machine Translation (SP)
|
100% |
783
13.5 IPS |
|
|
Machine Translation (HP)
|
100% |
791
13.6 IPS |
|
|
Machine Translation (Q)
|
58% |
227
5.33 IPS |
