Google geralt
Geekbench AI Score
148
Single Precision Score
148
Half Precision Score
420
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| Upload Date | June 30 2025 03:47 PM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | NNAPI |
| 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% |
86
16.0 IPS |
|
|
Image Classification (HP)
|
100% |
87
16.1 IPS |
|
|
Image Classification (Q)
|
99% |
273
50.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
119
1.93 IPS |
|
|
Image Segmentation (HP)
|
100% |
119
1.93 IPS |
|
|
Image Segmentation (Q)
|
98% |
322
5.24 IPS |
|
|
Pose Estimation (SP)
|
100% |
149
0.17 IPS |
|
|
Pose Estimation (HP)
|
100% |
149
0.17 IPS |
|
|
Pose Estimation (Q)
|
98% |
616
0.72 IPS |
|
|
Object Detection (SP)
|
100% |
85
6.74 IPS |
|
|
Object Detection (HP)
|
100% |
85
6.76 IPS |
|
|
Object Detection (Q)
|
87% |
283
22.7 IPS |
|
|
Face Detection (SP)
|
100% |
250
2.97 IPS |
|
|
Face Detection (HP)
|
100% |
251
2.98 IPS |
|
|
Face Detection (Q)
|
97% |
646
7.71 IPS |
|
|
Depth Estimation (SP)
|
100% |
197
1.51 IPS |
|
|
Depth Estimation (HP)
|
99% |
197
1.52 IPS |
|
|
Depth Estimation (Q)
|
64% |
553
5.02 IPS |
|
|
Style Transfer (SP)
|
100% |
356
0.46 IPS |
|
|
Style Transfer (HP)
|
100% |
355
0.46 IPS |
|
|
Style Transfer (Q)
|
98% |
1130
1.46 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
92
3.41 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
92
3.40 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
355
13.2 IPS |
|
|
Text Classification (SP)
|
100% |
120
159.7 IPS |
|
|
Text Classification (HP)
|
100% |
120
159.8 IPS |
|
|
Text Classification (Q)
|
91% |
298
401.0 IPS |
|
|
Machine Translation (SP)
|
100% |
208
3.58 IPS |
|
|
Machine Translation (HP)
|
100% |
209
3.59 IPS |
|
|
Machine Translation (Q)
|
57% |
261
6.37 IPS |
