iPad Pro (11-inch 3rd generation)
Geekbench ML Score
725
TensorFlow Lite CPU Inference Score
Geekbench ML 0.5.2 for iOS AArch64
Result Information
| Upload Date | March 08 2025 05:16 AM |
| Views | 5 |
System Information
| System Information | |
|---|---|
| Operating System | iOS 16.7 |
| 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 | CPU |
| Device | |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
619
66.3 IPS |
|
|
Image Classification (F16)
|
100% |
617
66.1 IPS |
|
|
Image Classification (I8)
|
81% |
394
42.3 IPS |
|
|
Image Segmentation (F32)
|
100% |
893
5.51 IPS |
|
|
Image Segmentation (F16)
|
100% |
887
5.48 IPS |
|
|
Image Segmentation (I8)
|
89% |
1425
8.80 IPS |
|
|
Pose Estimation (F32)
|
100% |
345
1.39 IPS |
|
|
Pose Estimation (F16)
|
100% |
344
1.39 IPS |
|
|
Pose Estimation (I8)
|
80% |
488
1.98 IPS |
|
|
Object Detection (F32)
|
100% |
945
33.2 IPS |
|
|
Object Detection (F16)
|
100% |
937
32.9 IPS |
|
|
Object Detection (I8)
|
52% |
601
21.1 IPS |
|
|
Face Detection (F32)
|
100% |
1067
12.3 IPS |
|
|
Face Detection (F16)
|
100% |
1066
12.2 IPS |
|
|
Face Detection (I8)
|
75% |
795
9.13 IPS |
|
|
Text Classification (F32)
|
100% |
612
242.2 IPS |
|
|
Text Classification (F16)
|
100% |
594
234.9 IPS |
|
|
Machine Translation (F32)
|
100% |
1143
176.2 IPS |
|
|
Machine Translation (F16)
|
100% |
1153
177.6 IPS |
