[2017] Tablet: Apple iPad Pro (10.5") [MQF02B/A] [A1709] iPad Pro (10.5-inch)
Geekbench ML Score
633
TensorFlow Lite CPU Inference Score
Geekbench ML 0.5.2 for iOS AArch64
Result Information
| User | inc7007 |
| Upload Date | June 10 2023 08:35 PM |
| Views | 9 |
System Information
| System Information | |
|---|---|
| Operating System | iOS 16.5 |
| Model | iPad Pro (10.5-inch) |
| Model ID | iPad7,4 |
| Motherboard | J208AP |
| CPU Information | |
|---|---|
| Name | Apple A10X Fusion |
| Topology | 1 Processor, 3 Cores |
| Identifier | ARM |
| Base Frequency | 2.34 GHz |
| L1 Instruction Cache | 64.0 KB x 1 |
| L1 Data Cache | 64.0 KB x 1 |
| L2 Cache | 8.00 MB x 1 |
| Memory Information | |
|---|---|
| Size | 3.91 GB |
| Inference Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
389
41.6 IPS |
|
|
Image Classification (F16)
|
100% |
397
42.5 IPS |
|
|
Image Classification (I8)
|
81% |
816
87.4 IPS |
|
|
Image Segmentation (F32)
|
100% |
640
3.95 IPS |
|
|
Image Segmentation (F16)
|
100% |
637
3.94 IPS |
|
|
Image Segmentation (I8)
|
89% |
1463
9.04 IPS |
|
|
Pose Estimation (F32)
|
100% |
265
1.07 IPS |
|
|
Pose Estimation (F16)
|
100% |
265
1.07 IPS |
|
|
Pose Estimation (I8)
|
80% |
350
1.42 IPS |
|
|
Object Detection (F32)
|
100% |
654
22.9 IPS |
|
|
Object Detection (F16)
|
100% |
684
24.0 IPS |
|
|
Object Detection (I8)
|
52% |
1144
40.1 IPS |
|
|
Face Detection (F32)
|
100% |
849
9.75 IPS |
|
|
Face Detection (F16)
|
100% |
847
9.73 IPS |
|
|
Face Detection (I8)
|
75% |
1138
13.1 IPS |
|
|
Text Classification (F32)
|
100% |
658
260.3 IPS |
|
|
Text Classification (F16)
|
100% |
652
257.9 IPS |
|
|
Machine Translation (F32)
|
100% |
717
110.5 IPS |
|
|
Machine Translation (F16)
|
100% |
715
110.2 IPS |
