GOOGLE Edgar
Geekbench AI Score
157
Single Precision Score
64
Half Precision Score
133
Quantized Score
Geekbench AI 1.3.0 for Linux x86 (64-bit)
Result Information
| User | guinea7pig |
| Upload Date | May 20 2025 10:42 PM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel Celeron N3160 |
| System Information | |
|---|---|
| Operating System | Debian GNU/Linux 12 (bookworm) |
| Model | GOOGLE Edgar |
| Motherboard | GOOGLE Edgar |
| CPU Information | |
|---|---|
| Name | Intel Celeron N3160 |
| Topology | 1 Processor, 4 Cores |
| Identifier | GenuineIntel Family 6 Model 76 Stepping 4 |
| Base Frequency | 2.24 GHz |
| Cluster 1 | 0 Cores |
| Memory Information | |
|---|---|
| Size | 3.77 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
92
17.0 IPS |
|
|
Image Classification (HP)
|
100% |
23
4.20 IPS |
|
|
Image Classification (Q)
|
97% |
76
14.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
72
1.17 IPS |
|
|
Image Segmentation (HP)
|
100% |
34
0.56 IPS |
|
|
Image Segmentation (Q)
|
99% |
83
1.36 IPS |
|
|
Pose Estimation (SP)
|
100% |
216
0.25 IPS |
|
|
Pose Estimation (HP)
|
100% |
130
0.15 IPS |
|
|
Pose Estimation (Q)
|
94% |
154
0.18 IPS |
|
|
Object Detection (SP)
|
100% |
95
7.55 IPS |
|
|
Object Detection (HP)
|
100% |
28
2.20 IPS |
|
|
Object Detection (Q)
|
86% |
75
6.00 IPS |
|
|
Face Detection (SP)
|
100% |
230
2.73 IPS |
|
|
Face Detection (HP)
|
100% |
58
0.69 IPS |
|
|
Face Detection (Q)
|
97% |
299
3.56 IPS |
|
|
Depth Estimation (SP)
|
100% |
276
2.13 IPS |
|
|
Depth Estimation (HP)
|
99% |
97
0.75 IPS |
|
|
Depth Estimation (Q)
|
78% |
204
1.62 IPS |
|
|
Style Transfer (SP)
|
100% |
540
0.69 IPS |
|
|
Style Transfer (HP)
|
100% |
375
0.48 IPS |
|
|
Style Transfer (Q)
|
98% |
445
0.57 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
121
4.48 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
75
2.79 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
97
3.59 IPS |
|
|
Text Classification (SP)
|
100% |
87
116.4 IPS |
|
|
Text Classification (HP)
|
100% |
50
66.7 IPS |
|
|
Text Classification (Q)
|
97% |
93
124.1 IPS |
|
|
Machine Translation (SP)
|
100% |
197
3.39 IPS |
|
|
Machine Translation (HP)
|
100% |
54
0.92 IPS |
|
|
Machine Translation (Q)
|
65% |
103
2.06 IPS |
