Google geralt
Geekbench AI Score
651
Single Precision Score
652
Half Precision Score
1232
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| User | yopology |
| Upload Date | December 08 2024 04:42 PM |
| Views | 6 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| 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% |
284
52.7 IPS |
|
|
Image Classification (HP)
|
100% |
285
53.1 IPS |
|
|
Image Classification (Q)
|
100% |
829
154.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
374
6.07 IPS |
|
|
Image Segmentation (HP)
|
100% |
373
6.05 IPS |
|
|
Image Segmentation (Q)
|
98% |
944
15.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
1388
1.62 IPS |
|
|
Pose Estimation (HP)
|
100% |
1389
1.62 IPS |
|
|
Pose Estimation (Q)
|
84% |
2035
2.41 IPS |
|
|
Object Detection (SP)
|
100% |
284
22.6 IPS |
|
|
Object Detection (HP)
|
100% |
286
22.7 IPS |
|
|
Object Detection (Q)
|
83% |
816
65.9 IPS |
|
|
Face Detection (SP)
|
100% |
953
11.3 IPS |
|
|
Face Detection (HP)
|
100% |
953
11.3 IPS |
|
|
Face Detection (Q)
|
95% |
1932
23.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
1195
9.21 IPS |
|
|
Depth Estimation (HP)
|
99% |
1205
9.28 IPS |
|
|
Depth Estimation (Q)
|
64% |
1903
17.4 IPS |
|
|
Style Transfer (SP)
|
89% |
2388
3.10 IPS |
|
|
Style Transfer (HP)
|
89% |
2384
3.09 IPS |
|
|
Style Transfer (Q)
|
98% |
4842
6.24 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
626
23.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
634
23.4 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1156
42.8 IPS |
|
|
Text Classification (SP)
|
100% |
333
443.9 IPS |
|
|
Text Classification (HP)
|
100% |
331
442.2 IPS |
|
|
Text Classification (Q)
|
88% |
691
932.5 IPS |
|
|
Machine Translation (SP)
|
100% |
581
10.0 IPS |
|
|
Machine Translation (HP)
|
100% |
574
9.88 IPS |
|
|
Machine Translation (Q)
|
50% |
439
15.6 IPS |
