Raspberry Pi 5
Geekbench AI Score
625
Single Precision Score
623
Half Precision Score
1743
Quantized Score
Geekbench AI 1.4.0 for Android AArch64
Result Information
| User | evariste |
| Upload Date | July 19 2025 07:50 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | ARM ARMv8 |
| System Information | |
|---|---|
| Operating System | Android 15 |
| Model | Raspberry Pi 5 |
| Model ID | Raspberry Pi 5 |
| Motherboard | bcm2712 |
| 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 | 7.75 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
380
70.7 IPS |
|
|
Image Classification (HP)
|
100% |
384
71.5 IPS |
|
|
Image Classification (Q)
|
100% |
1276
237.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
378
6.13 IPS |
|
|
Image Segmentation (HP)
|
100% |
379
6.14 IPS |
|
|
Image Segmentation (Q)
|
98% |
1361
22.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
1235
1.44 IPS |
|
|
Pose Estimation (HP)
|
100% |
1236
1.44 IPS |
|
|
Pose Estimation (Q)
|
84% |
3564
4.23 IPS |
|
|
Object Detection (SP)
|
100% |
373
29.6 IPS |
|
|
Object Detection (HP)
|
100% |
373
29.6 IPS |
|
|
Object Detection (Q)
|
83% |
1227
99.1 IPS |
|
|
Face Detection (SP)
|
100% |
646
7.67 IPS |
|
|
Face Detection (HP)
|
100% |
648
7.70 IPS |
|
|
Face Detection (Q)
|
95% |
2528
30.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
713
5.50 IPS |
|
|
Depth Estimation (HP)
|
99% |
711
5.48 IPS |
|
|
Depth Estimation (Q)
|
64% |
3143
28.8 IPS |
|
|
Style Transfer (SP)
|
89% |
2465
3.20 IPS |
|
|
Style Transfer (HP)
|
89% |
2465
3.20 IPS |
|
|
Style Transfer (Q)
|
98% |
7317
9.43 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
459
17.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
460
17.0 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1831
67.8 IPS |
|
|
Text Classification (SP)
|
100% |
460
613.6 IPS |
|
|
Text Classification (HP)
|
100% |
453
605.1 IPS |
|
|
Text Classification (Q)
|
88% |
867
1.17 KIPS |
|
|
Machine Translation (SP)
|
100% |
579
9.98 IPS |
|
|
Machine Translation (HP)
|
100% |
557
9.59 IPS |
|
|
Machine Translation (Q)
|
50% |
370
13.1 IPS |
