iPad Pro (12.9-inch 5th generation)
Geekbench ML Score
375
TensorFlow Lite Core ML Inference Score
Geekbench ML 0.5.2 for iOS AArch64
Result Information
| Upload Date | February 04 2026 02:45 PM |
| Views | 11 |
System Information
| System Information | |
|---|---|
| Operating System | iOS 15.5 |
| Model | iPad Pro (12.9-inch 5th generation) |
| Model ID | iPad13,8 |
| Motherboard | J522AP |
| 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 | 7.31 GB |
| Inference Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | Core ML |
| Device | |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
1024
109.7 IPS |
|
|
Image Classification (F16)
|
100% |
1024
109.7 IPS |
|
|
Image Classification (I8)
|
81% |
60
6.42 IPS |
|
|
Image Segmentation (F32)
|
100% |
215
1.33 IPS |
|
|
Image Segmentation (F16)
|
100% |
215
1.33 IPS |
|
|
Image Segmentation (I8)
|
89% |
110
0.68 IPS |
|
|
Pose Estimation (F32)
|
100% |
5767
23.3 IPS |
|
|
Pose Estimation (F16)
|
100% |
5786
23.4 IPS |
|
|
Pose Estimation (I8)
|
80% |
23
0.09 IPS |
|
|
Object Detection (F32)
|
100% |
969
34.0 IPS |
|
|
Object Detection (F16)
|
100% |
967
33.9 IPS |
|
|
Object Detection (I8)
|
52% |
86
3.00 IPS |
|
|
Face Detection (F32)
|
100% |
1754
20.1 IPS |
|
|
Face Detection (F16)
|
100% |
1752
20.1 IPS |
|
|
Face Detection (I8)
|
75% |
81
0.93 IPS |
|
|
Text Classification (F32)
|
100% |
165
65.5 IPS |
|
|
Text Classification (F16)
|
100% |
165
65.4 IPS |
|
|
Machine Translation (F32)
|
100% |
250
38.5 IPS |
|
|
Machine Translation (F16)
|
100% |
253
38.9 IPS |
