iPad Pro (11-inch 3rd generation)
Geekbench ML Score
2867
TensorFlow Lite GPU Inference Score
Geekbench ML 0.5.2 for iOS AArch64
Result Information
| Upload Date | November 19 2025 06:45 AM |
| Views | 5 |
System Information
| System Information | |
|---|---|
| Operating System | iOS 14.7.1 |
| Model | iPad Pro (11-inch 3rd generation) |
| Model ID | iPad13,6 |
| Motherboard | J518AP |
| 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 | GPU |
| Device | |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
4081
437.2 IPS |
|
|
Image Classification (F16)
|
100% |
5919
634.2 IPS |
|
|
Image Classification (I8)
|
81% |
688
73.7 IPS |
|
|
Image Segmentation (F32)
|
100% |
8175
50.5 IPS |
|
|
Image Segmentation (F16)
|
100% |
11736
72.5 IPS |
|
|
Image Segmentation (I8)
|
89% |
1256
7.76 IPS |
|
|
Pose Estimation (F32)
|
100% |
2876
11.6 IPS |
|
|
Pose Estimation (F16)
|
100% |
6851
27.7 IPS |
|
|
Pose Estimation (I8)
|
80% |
240
0.97 IPS |
|
|
Object Detection (F32)
|
100% |
3441
120.8 IPS |
|
|
Object Detection (F16)
|
100% |
4091
143.6 IPS |
|
|
Object Detection (I8)
|
52% |
984
34.5 IPS |
|
|
Face Detection (F32)
|
100% |
7116
81.8 IPS |
|
|
Face Detection (F16)
|
97% |
12623
145.0 IPS |
|
|
Face Detection (I8)
|
75% |
966
11.1 IPS |
|
|
Text Classification (F32)
|
100% |
3398
1.34 KIPS |
|
|
Text Classification (F16)
|
100% |
3797
1.50 KIPS |
|
|
Machine Translation (F32)
|
100% |
1829
281.9 IPS |
|
|
Machine Translation (F16)
|
100% |
1836
283.0 IPS |
