iPad Pro (12.9-inch 3rd Generation)
Geekbench ML Score
1491
TensorFlow Lite Core ML Inference Score
Geekbench ML 0.5.2 for iOS AArch64
Result Information
| Upload Date | August 13 2023 08:31 AM |
| Views | 2 |
System Information
| System Information | |
|---|---|
| Operating System | iOS 16.6 |
| 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% |
3947
422.9 IPS |
|
|
Image Classification (F16)
|
100% |
3862
413.8 IPS |
|
|
Image Classification (I8)
|
81% |
402
43.0 IPS |
|
|
Image Segmentation (F32)
|
100% |
1491
9.21 IPS |
|
|
Image Segmentation (F16)
|
100% |
1494
9.23 IPS |
|
|
Image Segmentation (I8)
|
89% |
748
4.62 IPS |
|
|
Pose Estimation (F32)
|
100% |
7861
31.8 IPS |
|
|
Pose Estimation (F16)
|
100% |
7909
32.0 IPS |
|
|
Pose Estimation (I8)
|
80% |
142
0.57 IPS |
|
|
Object Detection (F32)
|
94% |
4596
161.3 IPS |
|
|
Object Detection (F16)
|
94% |
4572
160.5 IPS |
|
|
Object Detection (I8)
|
52% |
577
20.3 IPS |
|
|
Face Detection (F32)
|
67% |
5264
60.5 IPS |
|
|
Face Detection (F16)
|
67% |
5260
60.4 IPS |
|
|
Face Detection (I8)
|
75% |
551
6.34 IPS |
|
|
Text Classification (F32)
|
100% |
337
133.5 IPS |
|
|
Text Classification (F16)
|
100% |
344
135.9 IPS |
|
|
Machine Translation (F32)
|
100% |
1012
155.9 IPS |
|
|
Machine Translation (F16)
|
100% |
1014
156.3 IPS |
