iPad Pro (12.9-inch 3rd Generation)
Geekbench ML Score
1907
TensorFlow Lite GPU Inference Score
Geekbench ML 0.5.2 for iOS AArch64
Result Information
| Upload Date | August 13 2023 08:29 AM |
| Views | 1 |
System Information
| System Information | |
|---|---|
| Operating System | iOS 16.6 |
| 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% |
2606
279.2 IPS |
|
|
Image Classification (F16)
|
100% |
4697
503.3 IPS |
|
|
Image Classification (I8)
|
81% |
402
43.0 IPS |
|
|
Image Segmentation (F32)
|
100% |
5515
34.1 IPS |
|
|
Image Segmentation (F16)
|
100% |
8983
55.5 IPS |
|
|
Image Segmentation (I8)
|
89% |
747
4.62 IPS |
|
|
Pose Estimation (F32)
|
100% |
1861
7.53 IPS |
|
|
Pose Estimation (F16)
|
100% |
5810
23.5 IPS |
|
|
Pose Estimation (I8)
|
80% |
142
0.57 IPS |
|
|
Object Detection (F32)
|
100% |
2910
102.1 IPS |
|
|
Object Detection (F16)
|
99% |
3186
111.8 IPS |
|
|
Object Detection (I8)
|
52% |
572
20.1 IPS |
|
|
Face Detection (F32)
|
100% |
5189
59.6 IPS |
|
|
Face Detection (F16)
|
97% |
9941
114.2 IPS |
|
|
Face Detection (I8)
|
75% |
551
6.34 IPS |
|
|
Text Classification (F32)
|
100% |
2275
899.9 IPS |
|
|
Text Classification (F16)
|
98% |
2166
856.7 IPS |
|
|
Machine Translation (F32)
|
100% |
1011
155.8 IPS |
|
|
Machine Translation (F16)
|
100% |
1011
155.9 IPS |
