Google geralt
Geekbench AI Score
187
Single Precision Score
153
Half Precision Score
167
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| User | yopology |
| Upload Date | December 08 2024 05:30 PM |
| Views | 9 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | GPU |
| Device | ARM ARMv8 |
| System Information | |
|---|---|
| Operating System | Android 13 |
| Model | Google geralt |
| Model ID | Google geralt |
| Motherboard | ciri |
| Governor | schedutil |
| CPU Information | |
|---|---|
| Name | ARM ARMv8 |
| Topology | 1 Processor, 8 Cores |
| Identifier | ARM implementer 65 architecture 8 variant 1 part 3393 revision 0 |
| Base Frequency | 2.00 GHz |
| Cluster 1 | 6 Cores @ 2.00 GHz |
| Cluster 2 | 2 Cores @ 2.60 GHz |
| Memory Information | |
|---|---|
| Size | 6.82 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
127
23.6 IPS |
|
|
Image Classification (HP)
|
100% |
115
21.4 IPS |
|
|
Image Classification (Q)
|
99% |
113
21.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
197
3.19 IPS |
|
|
Image Segmentation (HP)
|
100% |
165
2.68 IPS |
|
|
Image Segmentation (Q)
|
98% |
164
2.67 IPS |
|
|
Pose Estimation (SP)
|
100% |
130
0.15 IPS |
|
|
Pose Estimation (HP)
|
100% |
80
0.09 IPS |
|
|
Pose Estimation (Q)
|
96% |
80
0.09 IPS |
|
|
Object Detection (SP)
|
100% |
106
8.43 IPS |
|
|
Object Detection (HP)
|
100% |
86
6.81 IPS |
|
|
Object Detection (Q)
|
86% |
85
6.82 IPS |
|
|
Face Detection (SP)
|
100% |
388
4.61 IPS |
|
|
Face Detection (HP)
|
100% |
363
4.31 IPS |
|
|
Face Detection (Q)
|
97% |
346
4.13 IPS |
|
|
Depth Estimation (SP)
|
100% |
239
1.84 IPS |
|
|
Depth Estimation (HP)
|
99% |
164
1.26 IPS |
|
|
Depth Estimation (Q)
|
62% |
131
1.25 IPS |
|
|
Style Transfer (SP)
|
100% |
501
0.64 IPS |
|
|
Style Transfer (HP)
|
100% |
360
0.46 IPS |
|
|
Style Transfer (Q)
|
98% |
359
0.46 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
130
4.80 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
105
3.90 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
105
3.88 IPS |
|
|
Text Classification (SP)
|
100% |
120
160.5 IPS |
|
|
Text Classification (HP)
|
100% |
120
160.3 IPS |
|
|
Text Classification (Q)
|
91% |
298
400.5 IPS |
|
|
Machine Translation (SP)
|
100% |
212
3.65 IPS |
|
|
Machine Translation (HP)
|
100% |
212
3.65 IPS |
|
|
Machine Translation (Q)
|
57% |
263
6.42 IPS |
