iPad Pro (11-inch 3rd generation)
Geekbench ML Score
2719
TensorFlow Lite GPU Inference Score
Geekbench ML 0.5.2 for iOS AArch64
Result Information
| Upload Date | November 04 2024 04:00 AM |
| Views | 1 |
System Information
| System Information | |
|---|---|
| Operating System | iOS 18.1 |
| Model | iPad Pro (11-inch 3rd generation) |
| Model ID | iPad13,4 |
| Motherboard | J517AP |
| CPU Information | |
|---|---|
| Name | Apple M1 |
| Topology | 1 Processor, 8 Cores |
| Identifier | ARM |
| Base Frequency | 3.19 GHz |
| L1 Instruction Cache | 128 KB x 1 |
| L1 Data Cache | 64.0 KB x 1 |
| L2 Cache | 4.00 MB x 1 |
| Memory Information | |
|---|---|
| Size | 7.37 GB |
| Inference Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | GPU |
| Device | |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
4110
440.4 IPS |
|
|
Image Classification (F16)
|
100% |
5866
628.5 IPS |
|
|
Image Classification (I8)
|
81% |
687
73.6 IPS |
|
|
Image Segmentation (F32)
|
100% |
8064
49.8 IPS |
|
|
Image Segmentation (F16)
|
100% |
11767
72.7 IPS |
|
|
Image Segmentation (I8)
|
89% |
1235
7.63 IPS |
|
|
Pose Estimation (F32)
|
100% |
3091
12.5 IPS |
|
|
Pose Estimation (F16)
|
100% |
6738
27.3 IPS |
|
|
Pose Estimation (I8)
|
80% |
236
0.95 IPS |
|
|
Object Detection (F32)
|
100% |
3569
125.3 IPS |
|
|
Object Detection (F16)
|
100% |
3665
128.6 IPS |
|
|
Object Detection (I8)
|
52% |
956
33.6 IPS |
|
|
Face Detection (F32)
|
100% |
7104
81.6 IPS |
|
|
Face Detection (F16)
|
97% |
12547
144.2 IPS |
|
|
Face Detection (I8)
|
75% |
948
10.9 IPS |
|
|
Text Classification (F32)
|
100% |
2265
895.8 IPS |
|
|
Text Classification (F16)
|
100% |
2409
952.6 IPS |
|
|
Machine Translation (F32)
|
100% |
1810
279.0 IPS |
|
|
Machine Translation (F16)
|
100% |
1810
279.0 IPS |
