iPad Pro (11-inch 3rd generation)
Geekbench ML Score
2786
TensorFlow Lite Core ML Inference Score
Geekbench ML 0.5.2 for iOS AArch64
Result Information
| Upload Date | August 13 2023 10:38 AM |
| Views | 1 |
System Information
| System Information | |
|---|---|
| Operating System | iOS 16.6 |
| 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 | 7.35 GB |
| Inference Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | Core ML |
| Device | |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
6744
722.6 IPS |
|
|
Image Classification (F16)
|
100% |
6683
716.0 IPS |
|
|
Image Classification (I8)
|
81% |
671
71.9 IPS |
|
|
Image Segmentation (F32)
|
100% |
2069
12.8 IPS |
|
|
Image Segmentation (F16)
|
100% |
2072
12.8 IPS |
|
|
Image Segmentation (I8)
|
89% |
1230
7.60 IPS |
|
|
Pose Estimation (F32)
|
100% |
20422
82.6 IPS |
|
|
Pose Estimation (F16)
|
100% |
20273
82.0 IPS |
|
|
Pose Estimation (I8)
|
80% |
235
0.95 IPS |
|
|
Object Detection (F32)
|
100% |
7306
256.4 IPS |
|
|
Object Detection (F16)
|
100% |
7213
253.1 IPS |
|
|
Object Detection (I8)
|
52% |
957
33.6 IPS |
|
|
Face Detection (F32)
|
100% |
8484
97.5 IPS |
|
|
Face Detection (F16)
|
100% |
8466
97.3 IPS |
|
|
Face Detection (I8)
|
75% |
943
10.8 IPS |
|
|
Text Classification (F32)
|
100% |
1263
499.7 IPS |
|
|
Text Classification (F16)
|
100% |
1266
500.7 IPS |
|
|
Machine Translation (F32)
|
100% |
1833
282.5 IPS |
|
|
Machine Translation (F16)
|
100% |
1843
284.1 IPS |
