Default string Default string
Geekbench AI Score
495
Single Precision Score
494
Half Precision Score
359
Quantized Score
Geekbench AI 1.1.0 for Linux AVX2
Result Information
| User | kizerking74 |
| Upload Date | November 11 2024 09:16 AM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | Intel N100 |
| System Information | |
|---|---|
| Operating System | Nobara Linux 40 (GNOME Edition) |
| Model | Default string Default string |
| Motherboard | Default string Default string |
| 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 | 11.45 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
383
71.3 IPS |
|
|
Image Classification (HP)
|
100% |
364
67.7 IPS |
|
|
Image Classification (Q)
|
99% |
255
47.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
423
6.85 IPS |
|
|
Image Segmentation (HP)
|
100% |
417
6.75 IPS |
|
|
Image Segmentation (Q)
|
98% |
307
4.99 IPS |
|
|
Pose Estimation (SP)
|
100% |
498
0.58 IPS |
|
|
Pose Estimation (HP)
|
100% |
503
0.59 IPS |
|
|
Pose Estimation (Q)
|
96% |
466
0.55 IPS |
|
|
Object Detection (SP)
|
100% |
291
23.1 IPS |
|
|
Object Detection (HP)
|
100% |
303
24.0 IPS |
|
|
Object Detection (Q)
|
85% |
235
18.9 IPS |
|
|
Face Detection (SP)
|
100% |
614
7.29 IPS |
|
|
Face Detection (HP)
|
100% |
634
7.53 IPS |
|
|
Face Detection (Q)
|
97% |
574
6.85 IPS |
|
|
Depth Estimation (SP)
|
100% |
579
4.46 IPS |
|
|
Depth Estimation (HP)
|
99% |
572
4.41 IPS |
|
|
Depth Estimation (Q)
|
63% |
439
4.12 IPS |
|
|
Style Transfer (SP)
|
100% |
891
1.14 IPS |
|
|
Style Transfer (HP)
|
100% |
891
1.14 IPS |
|
|
Style Transfer (Q)
|
98% |
1121
1.45 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
308
11.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
311
11.5 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
292
10.8 IPS |
|
|
Text Classification (SP)
|
100% |
573
765.1 IPS |
|
|
Text Classification (HP)
|
100% |
563
752.1 IPS |
|
|
Text Classification (Q)
|
92% |
253
340.2 IPS |
|
|
Machine Translation (SP)
|
100% |
679
11.7 IPS |
|
|
Machine Translation (HP)
|
100% |
666
11.5 IPS |
|
|
Machine Translation (Q)
|
58% |
204
4.78 IPS |
