Default string Default string
Geekbench AI Score
134
Single Precision Score
134
Half Precision Score
119
Quantized Score
Geekbench AI 1.2.0 for Linux AVX2
Result Information
| User | AndyMcSchopf |
| Upload Date | January 07 2025 08:10 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | Intel N100 |
| System Information | |
|---|---|
| Operating System | Ubuntu 22.04.5 LTS |
| 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 | 15.40 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
59
11.0 IPS |
|
|
Image Classification (HP)
|
100% |
60
11.1 IPS |
|
|
Image Classification (Q)
|
99% |
53
9.91 IPS |
|
|
Image Segmentation (SP)
|
100% |
198
3.21 IPS |
|
|
Image Segmentation (HP)
|
100% |
194
3.14 IPS |
|
|
Image Segmentation (Q)
|
98% |
140
2.27 IPS |
|
|
Pose Estimation (SP)
|
100% |
419
0.49 IPS |
|
|
Pose Estimation (HP)
|
100% |
416
0.49 IPS |
|
|
Pose Estimation (Q)
|
96% |
342
0.40 IPS |
|
|
Object Detection (SP)
|
100% |
78
6.21 IPS |
|
|
Object Detection (HP)
|
100% |
79
6.29 IPS |
|
|
Object Detection (Q)
|
85% |
70
5.63 IPS |
|
|
Face Detection (SP)
|
100% |
257
3.06 IPS |
|
|
Face Detection (HP)
|
100% |
265
3.15 IPS |
|
|
Face Detection (Q)
|
97% |
236
2.81 IPS |
|
|
Depth Estimation (SP)
|
100% |
260
2.00 IPS |
|
|
Depth Estimation (HP)
|
99% |
263
2.03 IPS |
|
|
Depth Estimation (Q)
|
63% |
197
1.85 IPS |
|
|
Style Transfer (SP)
|
100% |
783
1.01 IPS |
|
|
Style Transfer (HP)
|
100% |
773
0.99 IPS |
|
|
Style Transfer (Q)
|
98% |
848
1.09 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
141
5.21 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
142
5.25 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
126
4.69 IPS |
|
|
Text Classification (SP)
|
100% |
17
22.3 IPS |
|
|
Text Classification (HP)
|
100% |
18
24.0 IPS |
|
|
Text Classification (Q)
|
92% |
15
20.0 IPS |
|
|
Machine Translation (SP)
|
100% |
40
0.69 IPS |
|
|
Machine Translation (HP)
|
100% |
38
0.66 IPS |
|
|
Machine Translation (Q)
|
58% |
46
1.09 IPS |
