iPad Pro (12.9-inch 3rd Generation)
Geekbench ML Score
1461
TensorFlow Lite Core ML Inference Score
Geekbench ML 0.5.2 for iOS AArch64
Result Information
| Upload Date | February 16 2025 08:44 AM |
| Views | 4 |
System Information
| System Information | |
|---|---|
| Operating System | iOS 15.4.1 |
| Model | iPad Pro (12.9-inch 3rd Generation) |
| Model ID | iPad8,5 |
| Motherboard | J320AP |
| CPU Information | |
|---|---|
| Name | Apple A12X Bionic |
| Topology | 1 Processor, 8 Cores |
| Identifier | ARM |
| Base Frequency | 2.49 GHz |
| L1 Instruction Cache | 48.0 KB x 1 |
| L1 Data Cache | 32.0 KB x 1 |
| L2 Cache | 2.00 MB x 1 |
| Memory Information | |
|---|---|
| Size | 3.66 GB |
| Inference Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | Core ML |
| Device | |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
4108
440.1 IPS |
|
|
Image Classification (F16)
|
100% |
4039
432.7 IPS |
|
|
Image Classification (I8)
|
81% |
404
43.3 IPS |
|
|
Image Segmentation (F32)
|
100% |
1502
9.28 IPS |
|
|
Image Segmentation (F16)
|
100% |
1483
9.16 IPS |
|
|
Image Segmentation (I8)
|
89% |
751
4.64 IPS |
|
|
Pose Estimation (F32)
|
100% |
8102
32.8 IPS |
|
|
Pose Estimation (F16)
|
100% |
8086
32.7 IPS |
|
|
Pose Estimation (I8)
|
80% |
142
0.58 IPS |
|
|
Object Detection (F32)
|
94% |
4303
151.0 IPS |
|
|
Object Detection (F16)
|
94% |
4334
152.1 IPS |
|
|
Object Detection (I8)
|
52% |
570
20.0 IPS |
|
|
Face Detection (F32)
|
67% |
4878
56.0 IPS |
|
|
Face Detection (F16)
|
67% |
4832
55.5 IPS |
|
|
Face Detection (I8)
|
75% |
550
6.32 IPS |
|
|
Text Classification (F32)
|
100% |
322
127.6 IPS |
|
|
Text Classification (F16)
|
100% |
292
115.3 IPS |
|
|
Machine Translation (F32)
|
100% |
1007
155.1 IPS |
|
|
Machine Translation (F16)
|
100% |
996
153.5 IPS |
