iPad Pro (12.9-inch 3rd Generation)
Geekbench ML Score
629
TensorFlow Lite CPU Inference Score
Geekbench ML 0.5.2 for iOS AArch64
Result Information
| Upload Date | August 14 2023 09:17 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% |
643
68.9 IPS |
|
|
Image Classification (F16)
|
100% |
643
68.9 IPS |
|
|
Image Classification (I8)
|
81% |
244
26.1 IPS |
|
|
Image Segmentation (F32)
|
100% |
936
5.78 IPS |
|
|
Image Segmentation (F16)
|
100% |
934
5.77 IPS |
|
|
Image Segmentation (I8)
|
89% |
1137
7.02 IPS |
|
|
Pose Estimation (F32)
|
100% |
407
1.65 IPS |
|
|
Pose Estimation (F16)
|
100% |
382
1.54 IPS |
|
|
Pose Estimation (I8)
|
80% |
413
1.67 IPS |
|
|
Object Detection (F32)
|
100% |
722
25.3 IPS |
|
|
Object Detection (F16)
|
100% |
725
25.4 IPS |
|
|
Object Detection (I8)
|
52% |
466
16.4 IPS |
|
|
Face Detection (F32)
|
100% |
1105
12.7 IPS |
|
|
Face Detection (F16)
|
100% |
932
10.7 IPS |
|
|
Face Detection (I8)
|
75% |
635
7.30 IPS |
|
|
Text Classification (F32)
|
100% |
500
197.7 IPS |
|
|
Text Classification (F16)
|
100% |
589
232.8 IPS |
|
|
Machine Translation (F32)
|
100% |
1013
156.2 IPS |
|
|
Machine Translation (F16)
|
100% |
497
76.7 IPS |
