Raspberry Raspberry Pi 5
Geekbench AI Score
471
Single Precision Score
470
Half Precision Score
1582
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| User | evariste |
| Upload Date | January 25 2025 02:27 PM |
| Views | 10 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | ARM ARMv8 |
| System Information | |
|---|---|
| Operating System | Android 15 |
| Model | Raspberry Raspberry Pi 5 |
| Model ID | Raspberry Raspberry Pi 5 |
| Motherboard | |
| Governor | ondemand |
| CPU Information | |
|---|---|
| Name | ARM ARMv8 |
| Topology | 1 Processor, 4 Cores |
| Identifier | ARM implementer 65 architecture 8 variant 4 part 3339 revision 1 |
| Base Frequency | 2.40 GHz |
| Cluster 1 | 4 Cores @ 2.40 GHz |
| Memory Information | |
|---|---|
| Size | 7.74 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
311
57.9 IPS |
|
|
Image Classification (HP)
|
100% |
320
59.5 IPS |
|
|
Image Classification (Q)
|
100% |
1197
222.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
271
4.39 IPS |
|
|
Image Segmentation (HP)
|
100% |
271
4.39 IPS |
|
|
Image Segmentation (Q)
|
98% |
1141
18.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
919
1.07 IPS |
|
|
Pose Estimation (HP)
|
100% |
915
1.07 IPS |
|
|
Pose Estimation (Q)
|
84% |
3485
4.13 IPS |
|
|
Object Detection (SP)
|
100% |
312
24.7 IPS |
|
|
Object Detection (HP)
|
100% |
311
24.6 IPS |
|
|
Object Detection (Q)
|
83% |
1163
93.9 IPS |
|
|
Face Detection (SP)
|
100% |
457
5.43 IPS |
|
|
Face Detection (HP)
|
100% |
456
5.42 IPS |
|
|
Face Detection (Q)
|
95% |
1985
23.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
405
3.12 IPS |
|
|
Depth Estimation (HP)
|
99% |
400
3.08 IPS |
|
|
Depth Estimation (Q)
|
64% |
3045
27.9 IPS |
|
|
Style Transfer (SP)
|
89% |
1760
2.29 IPS |
|
|
Style Transfer (HP)
|
89% |
1748
2.27 IPS |
|
|
Style Transfer (Q)
|
98% |
6443
8.31 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
317
11.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
318
11.7 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1700
63.0 IPS |
|
|
Text Classification (SP)
|
100% |
441
588.0 IPS |
|
|
Text Classification (HP)
|
100% |
435
580.0 IPS |
|
|
Text Classification (Q)
|
88% |
864
1.16 KIPS |
|
|
Machine Translation (SP)
|
100% |
498
8.57 IPS |
|
|
Machine Translation (HP)
|
100% |
485
8.36 IPS |
|
|
Machine Translation (Q)
|
50% |
312
11.1 IPS |
