iPad Pro (11-inch 3rd generation)
Geekbench ML Score
1786
TensorFlow Lite Core ML Inference Score
Geekbench ML 0.5.2 for iOS AArch64
Result Information
| Upload Date | January 29 2025 06:21 AM |
| Views | 5 |
System Information
| System Information | |
|---|---|
| Operating System | iOS 15.4.1 |
| 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 | 7.33 GB |
| Inference Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | Core ML |
| Device | |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
4126
442.1 IPS |
|
|
Image Classification (F16)
|
100% |
4194
449.3 IPS |
|
|
Image Classification (I8)
|
81% |
419
44.9 IPS |
|
|
Image Segmentation (F32)
|
100% |
1426
8.81 IPS |
|
|
Image Segmentation (F16)
|
100% |
1427
8.81 IPS |
|
|
Image Segmentation (I8)
|
89% |
766
4.73 IPS |
|
|
Pose Estimation (F32)
|
100% |
13644
55.2 IPS |
|
|
Pose Estimation (F16)
|
100% |
13475
54.5 IPS |
|
|
Pose Estimation (I8)
|
80% |
147
0.59 IPS |
|
|
Object Detection (F32)
|
100% |
4995
175.3 IPS |
|
|
Object Detection (F16)
|
100% |
4969
174.4 IPS |
|
|
Object Detection (I8)
|
52% |
600
21.1 IPS |
|
|
Face Detection (F32)
|
100% |
6124
70.4 IPS |
|
|
Face Detection (F16)
|
100% |
6125
70.4 IPS |
|
|
Face Detection (I8)
|
75% |
587
6.75 IPS |
|
|
Text Classification (F32)
|
100% |
688
271.9 IPS |
|
|
Text Classification (F16)
|
100% |
690
272.8 IPS |
|
|
Machine Translation (F32)
|
100% |
1128
173.8 IPS |
|
|
Machine Translation (F16)
|
100% |
1141
175.9 IPS |
