Google rammus
Geekbench AI Score
20
Single Precision Score
20
Half Precision Score
11
Quantized Score
Geekbench AI 1.5.0 for Android AArch64
Result Information
| Upload Date | December 04 2025 07:55 AM |
| Views | 13 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | GPU |
| Device | placeholder |
| System Information | |
|---|---|
| Operating System | Android 13 |
| Model | Google rammus |
| Model ID | Google rammus |
| Motherboard | shyvana |
| CPU Information | |
|---|---|
| Name | placeholder |
| Topology | 1 Processor, 4 Cores |
| Identifier | ARM implementer 78 architecture 8 variant 2 part 0 revision 1 |
| Base Frequency | 0 MHz |
| Cluster 1 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 6.96 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
0% |
0
1.29 KIPS |
|
|
Image Classification (HP)
|
0% |
0
1.42 KIPS |
|
|
Image Classification (Q)
|
0% |
0
992.9 IPS |
|
|
Image Segmentation (SP)
|
73% |
15706
271.4 IPS |
|
|
Image Segmentation (HP)
|
73% |
15806
273.1 IPS |
|
|
Image Segmentation (Q)
|
73% |
1949
33.7 IPS |
|
|
Pose Estimation (SP)
|
0% |
0
689.2 IPS |
|
|
Pose Estimation (HP)
|
0% |
0
813.1 IPS |
|
|
Pose Estimation (Q)
|
0% |
0
286.0 IPS |
|
|
Object Detection (SP)
|
0% |
0
659.4 IPS |
|
|
Object Detection (HP)
|
0% |
0
811.6 IPS |
|
|
Object Detection (Q)
|
0% |
0
822.6 IPS |
|
|
Face Detection (SP)
|
0% |
0
292.1 IPS |
|
|
Face Detection (HP)
|
0% |
0
291.4 IPS |
|
|
Face Detection (Q)
|
0% |
0
132.7 IPS |
|
|
Depth Estimation (SP)
|
0% |
0
839.5 IPS |
|
|
Depth Estimation (HP)
|
0% |
0
816.0 IPS |
|
|
Depth Estimation (Q)
|
0% |
0
939.5 IPS |
|
|
Style Transfer (SP)
|
32% |
92916
1.17 KIPS |
|
|
Style Transfer (HP)
|
32% |
111286
1.40 KIPS |
|
|
Style Transfer (Q)
|
32% |
26827
334.6 IPS |
|
|
Image Super-Resolution (SP)
|
1% |
0
1.61 KIPS |
|
|
Image Super-Resolution (HP)
|
1% |
0
1.47 KIPS |
|
|
Image Super-Resolution (Q)
|
1% |
0
503.8 IPS |
|
|
Text Classification (SP)
|
100% |
78
103.8 IPS |
|
|
Text Classification (HP)
|
100% |
71
94.2 IPS |
|
|
Text Classification (Q)
|
91% |
31
41.9 IPS |
|
|
Machine Translation (SP)
|
100% |
127
2.18 IPS |
|
|
Machine Translation (HP)
|
100% |
127
2.19 IPS |
|
|
Machine Translation (Q)
|
57% |
36
0.87 IPS |
