iPad Pro (12.9-inch 3rd Generation)
Geekbench ML Score
1901
TensorFlow Lite GPU Inference Score
Geekbench ML 0.5.2 for iOS AArch64
Result Information
| Upload Date | February 16 2025 08:48 AM |
| Views | 5 |
System Information
| System Information | |
|---|---|
| Operating System | iOS 15.4.1 |
| Model | iPad Pro (12.9-inch 3rd Generation) |
| Model ID | iPad8,5 |
| Motherboard | J320AP |
| CPU Information | |
|---|---|
| Name | Apple A12X Bionic |
| Topology | 1 Processor, 8 Cores |
| Identifier | ARM |
| Base Frequency | 2.49 GHz |
| L1 Instruction Cache | 48.0 KB x 1 |
| L1 Data Cache | 32.0 KB x 1 |
| L2 Cache | 2.00 MB x 1 |
| Memory Information | |
|---|---|
| Size | 3.66 GB |
| Inference Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | GPU |
| Device | |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
2639
282.8 IPS |
|
|
Image Classification (F16)
|
100% |
4830
517.5 IPS |
|
|
Image Classification (I8)
|
81% |
402
43.1 IPS |
|
|
Image Segmentation (F32)
|
100% |
5479
33.8 IPS |
|
|
Image Segmentation (F16)
|
100% |
9185
56.7 IPS |
|
|
Image Segmentation (I8)
|
89% |
748
4.62 IPS |
|
|
Pose Estimation (F32)
|
100% |
1867
7.55 IPS |
|
|
Pose Estimation (F16)
|
100% |
5814
23.5 IPS |
|
|
Pose Estimation (I8)
|
80% |
142
0.58 IPS |
|
|
Object Detection (F32)
|
100% |
2788
97.8 IPS |
|
|
Object Detection (F16)
|
99% |
3099
108.8 IPS |
|
|
Object Detection (I8)
|
52% |
569
20.0 IPS |
|
|
Face Detection (F32)
|
100% |
5213
59.9 IPS |
|
|
Face Detection (F16)
|
97% |
9951
114.3 IPS |
|
|
Face Detection (I8)
|
75% |
553
6.35 IPS |
|
|
Text Classification (F32)
|
100% |
2092
827.6 IPS |
|
|
Text Classification (F16)
|
98% |
2270
898.0 IPS |
|
|
Machine Translation (F32)
|
100% |
1006
155.1 IPS |
|
|
Machine Translation (F16)
|
100% |
1000
154.1 IPS |
