[2017] Tablet: Apple iPad Pro (10.5") [MQF02B/A] [A1709] iPad Pro (10.5-inch)
Geekbench ML Score
849
TensorFlow Lite GPU Inference Score
Geekbench ML 0.5.2 for iOS AArch64
Result Information
| User | inc7007 |
| Upload Date | June 10 2023 08:38 PM |
| Views | 11 |
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 | GPU |
| Device | |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
846
90.6 IPS |
|
|
Image Classification (F16)
|
99% |
1120
120.0 IPS |
|
|
Image Classification (I8)
|
81% |
335
35.9 IPS |
|
|
Image Segmentation (F32)
|
100% |
2020
12.5 IPS |
|
|
Image Segmentation (F16)
|
98% |
2618
16.2 IPS |
|
|
Image Segmentation (I8)
|
89% |
613
3.79 IPS |
|
|
Pose Estimation (F32)
|
100% |
715
2.89 IPS |
|
|
Pose Estimation (F16)
|
100% |
1677
6.79 IPS |
|
|
Pose Estimation (I8)
|
80% |
131
0.53 IPS |
|
|
Object Detection (F32)
|
90% |
827
29.0 IPS |
|
|
Object Detection (F16)
|
90% |
1372
48.1 IPS |
|
|
Object Detection (I8)
|
52% |
479
16.8 IPS |
|
|
Face Detection (F32)
|
100% |
1877
21.6 IPS |
|
|
Face Detection (F16)
|
88% |
2454
28.2 IPS |
|
|
Face Detection (I8)
|
75% |
444
5.10 IPS |
|
|
Text Classification (F32)
|
100% |
596
235.7 IPS |
|
|
Text Classification (F16)
|
98% |
726
287.2 IPS |
|
|
Machine Translation (F32)
|
100% |
758
116.8 IPS |
|
|
Machine Translation (F16)
|
100% |
760
117.1 IPS |
