iPad Pro (11-inch 3rd generation)
Geekbench ML Score
1020
TensorFlow Lite CPU Inference Score
Geekbench ML 0.5.2 for iOS AArch64
Result Information
| Upload Date | November 19 2025 06:28 AM |
| Views | 6 |
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 | CPU |
| Device | |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
948
101.6 IPS |
|
|
Image Classification (F16)
|
100% |
954
102.2 IPS |
|
|
Image Classification (I8)
|
81% |
413
44.3 IPS |
|
|
Image Segmentation (F32)
|
100% |
1354
8.36 IPS |
|
|
Image Segmentation (F16)
|
100% |
1343
8.29 IPS |
|
|
Image Segmentation (I8)
|
89% |
1509
9.32 IPS |
|
|
Pose Estimation (F32)
|
100% |
672
2.72 IPS |
|
|
Pose Estimation (F16)
|
100% |
672
2.72 IPS |
|
|
Pose Estimation (I8)
|
80% |
794
3.21 IPS |
|
|
Object Detection (F32)
|
100% |
1441
50.6 IPS |
|
|
Object Detection (F16)
|
100% |
1444
50.7 IPS |
|
|
Object Detection (I8)
|
52% |
623
21.9 IPS |
|
|
Face Detection (F32)
|
100% |
1625
18.7 IPS |
|
|
Face Detection (F16)
|
100% |
1630
18.7 IPS |
|
|
Face Detection (I8)
|
75% |
836
9.60 IPS |
|
|
Text Classification (F32)
|
100% |
634
250.8 IPS |
|
|
Text Classification (F16)
|
100% |
651
257.5 IPS |
|
|
Machine Translation (F32)
|
100% |
1843
284.0 IPS |
|
|
Machine Translation (F16)
|
100% |
1846
284.5 IPS |
