Raspberry Raspberry Pi 5
Geekbench AI Score
371
Single Precision Score
395
Half Precision Score
1587
Quantized Score
Geekbench AI 1.4.0 for Android AArch64
Result Information
| User | evariste |
| Upload Date | July 20 2025 03:03 PM |
| Views | 6 |
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% |
277
51.5 IPS |
|
|
Image Classification (HP)
|
100% |
300
55.7 IPS |
|
|
Image Classification (Q)
|
100% |
1254
233.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
225
3.65 IPS |
|
|
Image Segmentation (HP)
|
100% |
245
3.97 IPS |
|
|
Image Segmentation (Q)
|
98% |
1198
19.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
473
0.55 IPS |
|
|
Pose Estimation (HP)
|
100% |
472
0.55 IPS |
|
|
Pose Estimation (Q)
|
84% |
3439
4.08 IPS |
|
|
Object Detection (SP)
|
100% |
261
20.7 IPS |
|
|
Object Detection (HP)
|
100% |
294
23.3 IPS |
|
|
Object Detection (Q)
|
83% |
1172
94.7 IPS |
|
|
Face Detection (SP)
|
100% |
354
4.20 IPS |
|
|
Face Detection (HP)
|
100% |
388
4.61 IPS |
|
|
Face Detection (Q)
|
95% |
1882
22.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
217
1.67 IPS |
|
|
Depth Estimation (HP)
|
99% |
297
2.29 IPS |
|
|
Depth Estimation (Q)
|
64% |
2968
27.2 IPS |
|
|
Style Transfer (SP)
|
89% |
1573
2.04 IPS |
|
|
Style Transfer (HP)
|
89% |
1498
1.95 IPS |
|
|
Style Transfer (Q)
|
98% |
6589
8.50 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
292
10.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
289
10.7 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1714
63.5 IPS |
|
|
Text Classification (SP)
|
100% |
433
578.6 IPS |
|
|
Text Classification (HP)
|
100% |
419
559.9 IPS |
|
|
Text Classification (Q)
|
88% |
862
1.16 KIPS |
|
|
Machine Translation (SP)
|
100% |
426
7.35 IPS |
|
|
Machine Translation (HP)
|
100% |
439
7.55 IPS |
|
|
Machine Translation (Q)
|
50% |
309
11.0 IPS |
