Default string Default string
Geekbench AI Score
638
Single Precision Score
637
Half Precision Score
431
Quantized Score
Geekbench AI 1.1.0 for Linux AVX2
Result Information
| User | Oleksandr |
| Upload Date | November 16 2024 12:12 PM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | Intel N200 |
| System Information | |
|---|---|
| Operating System | Ubuntu 24.04.1 LTS |
| Model | Default string Default string |
| Motherboard | Default string Default string |
| CPU Information | |
|---|---|
| Name | Intel N200 |
| Topology | 1 Processor, 4 Cores |
| Identifier | GenuineIntel Family 6 Model 190 Stepping 0 |
| Base Frequency | 3.70 GHz |
| Cluster 1 | 0 Cores |
| Memory Information | |
|---|---|
| Size | 31.03 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
452
84.0 IPS |
|
|
Image Classification (HP)
|
100% |
447
83.1 IPS |
|
|
Image Classification (Q)
|
99% |
303
56.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
539
8.73 IPS |
|
|
Image Segmentation (HP)
|
100% |
542
8.79 IPS |
|
|
Image Segmentation (Q)
|
98% |
359
5.84 IPS |
|
|
Pose Estimation (SP)
|
100% |
759
0.89 IPS |
|
|
Pose Estimation (HP)
|
100% |
733
0.85 IPS |
|
|
Pose Estimation (Q)
|
96% |
628
0.74 IPS |
|
|
Object Detection (SP)
|
100% |
388
30.8 IPS |
|
|
Object Detection (HP)
|
100% |
386
30.6 IPS |
|
|
Object Detection (Q)
|
85% |
287
23.1 IPS |
|
|
Face Detection (SP)
|
100% |
865
10.3 IPS |
|
|
Face Detection (HP)
|
100% |
876
10.4 IPS |
|
|
Face Detection (Q)
|
97% |
695
8.29 IPS |
|
|
Depth Estimation (SP)
|
100% |
789
6.08 IPS |
|
|
Depth Estimation (HP)
|
99% |
786
6.06 IPS |
|
|
Depth Estimation (Q)
|
63% |
543
5.09 IPS |
|
|
Style Transfer (SP)
|
100% |
1278
1.64 IPS |
|
|
Style Transfer (HP)
|
100% |
1278
1.64 IPS |
|
|
Style Transfer (Q)
|
98% |
1396
1.80 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
392
14.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
401
14.8 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
339
12.6 IPS |
|
|
Text Classification (SP)
|
100% |
545
727.0 IPS |
|
|
Text Classification (HP)
|
100% |
549
733.3 IPS |
|
|
Text Classification (Q)
|
92% |
261
350.9 IPS |
|
|
Machine Translation (SP)
|
100% |
839
14.5 IPS |
|
|
Machine Translation (HP)
|
100% |
836
14.4 IPS |
|
|
Machine Translation (Q)
|
58% |
245
5.75 IPS |
