GOOGLE Candy
Geekbench AI Score
84
Single Precision Score
83
Half Precision Score
68
Quantized Score
Geekbench AI 1.2.0 for Windows x86 (64-bit)
Result Information
| User | KD8UXA |
| Upload Date | January 15 2025 03:46 AM |
| Views | 21 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | Intel(R) Celeron(R) CPU N2840 @ 2.16GHz |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Home (64-bit) |
| Model | GOOGLE Candy |
| Motherboard | GOOGLE Candy |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | Intel Celeron N2840 |
| Topology | 1 Processor, 2 Cores |
| Identifier | GenuineIntel Family 6 Model 55 Stepping 8 |
| Base Frequency | 2.17 GHz |
| Cluster 1 | 2 Cores |
| Memory Information | |
|---|---|
| Size | 4.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
52
9.72 IPS |
|
|
Image Classification (HP)
|
100% |
52
9.58 IPS |
|
|
Image Classification (Q)
|
100% |
40
7.47 IPS |
|
|
Image Segmentation (SP)
|
100% |
69
1.11 IPS |
|
|
Image Segmentation (HP)
|
100% |
68
1.11 IPS |
|
|
Image Segmentation (Q)
|
99% |
51
0.83 IPS |
|
|
Pose Estimation (SP)
|
100% |
92
0.11 IPS |
|
|
Pose Estimation (HP)
|
100% |
93
0.11 IPS |
|
|
Pose Estimation (Q)
|
94% |
78
0.09 IPS |
|
|
Object Detection (SP)
|
100% |
52
4.09 IPS |
|
|
Object Detection (HP)
|
100% |
52
4.12 IPS |
|
|
Object Detection (Q)
|
87% |
42
3.38 IPS |
|
|
Face Detection (SP)
|
100% |
181
2.15 IPS |
|
|
Face Detection (HP)
|
100% |
181
2.15 IPS |
|
|
Face Detection (Q)
|
97% |
129
1.54 IPS |
|
|
Depth Estimation (SP)
|
100% |
136
1.04 IPS |
|
|
Depth Estimation (HP)
|
99% |
130
1.00 IPS |
|
|
Depth Estimation (Q)
|
81% |
99
0.78 IPS |
|
|
Style Transfer (SP)
|
100% |
201
0.26 IPS |
|
|
Style Transfer (HP)
|
100% |
198
0.25 IPS |
|
|
Style Transfer (Q)
|
98% |
243
0.31 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
58
2.13 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
58
2.14 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
49
1.80 IPS |
|
|
Text Classification (SP)
|
100% |
49
64.9 IPS |
|
|
Text Classification (HP)
|
100% |
49
65.7 IPS |
|
|
Text Classification (Q)
|
91% |
31
42.2 IPS |
|
|
Machine Translation (SP)
|
100% |
76
1.31 IPS |
|
|
Machine Translation (HP)
|
100% |
76
1.31 IPS |
|
|
Machine Translation (Q)
|
100% |
76
1.30 IPS |
