iPad Pro (12.9-inch 3rd Generation)
Geekbench ML Score
658
TensorFlow Lite CPU Inference Score
Geekbench ML 0.5.2 for iOS AArch64
Result Information
| Upload Date | August 14 2023 09:18 AM |
| Views | 1 |
System Information
| System Information | |
|---|---|
| Operating System | iOS 16.6 |
| Model | iPad Pro (12.9-inch 3rd Generation) |
| Model ID | iPad8,7 |
| Motherboard | J321AP |
| 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 | CPU |
| Device | |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
614
65.8 IPS |
|
|
Image Classification (F16)
|
100% |
478
51.2 IPS |
|
|
Image Classification (I8)
|
81% |
231
24.7 IPS |
|
|
Image Segmentation (F32)
|
100% |
878
5.42 IPS |
|
|
Image Segmentation (F16)
|
100% |
751
4.64 IPS |
|
|
Image Segmentation (I8)
|
89% |
1203
7.43 IPS |
|
|
Pose Estimation (F32)
|
100% |
419
1.70 IPS |
|
|
Pose Estimation (F16)
|
100% |
426
1.72 IPS |
|
|
Pose Estimation (I8)
|
80% |
466
1.89 IPS |
|
|
Object Detection (F32)
|
100% |
991
34.8 IPS |
|
|
Object Detection (F16)
|
100% |
800
28.1 IPS |
|
|
Object Detection (I8)
|
52% |
450
15.8 IPS |
|
|
Face Detection (F32)
|
100% |
1151
13.2 IPS |
|
|
Face Detection (F16)
|
100% |
1171
13.5 IPS |
|
|
Face Detection (I8)
|
75% |
722
8.30 IPS |
|
|
Text Classification (F32)
|
100% |
468
185.1 IPS |
|
|
Text Classification (F16)
|
100% |
474
187.5 IPS |
|
|
Machine Translation (F32)
|
100% |
1021
157.3 IPS |
|
|
Machine Translation (F16)
|
100% |
1017
156.8 IPS |
