iPad (6th generation)
Geekbench ML Score
391
TensorFlow Lite Core ML Inference Score
Geekbench ML 0.5.2 for iOS AArch64
Result Information
| Upload Date | August 13 2023 07:15 AM |
| Views | 1 |
System Information
| System Information | |
|---|---|
| Operating System | iOS 16.6 |
| Model | iPad (6th generation) |
| Model ID | iPad7,5 |
| Motherboard | J71bAP |
| CPU Information | |
|---|---|
| Name | Apple A10 Fusion |
| Topology | 1 Processor, 2 Cores |
| Identifier | ARM |
| Base Frequency | 2.32 GHz |
| L1 Instruction Cache | 64.0 KB x 1 |
| L1 Data Cache | 64.0 KB x 1 |
| L2 Cache | 3.00 MB x 1 |
| Memory Information | |
|---|---|
| Size | 1.93 GB |
| Inference Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | Core ML |
| Device | |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
209
22.4 IPS |
|
|
Image Classification (F16)
|
100% |
328
35.1 IPS |
|
|
Image Classification (I8)
|
81% |
320
34.3 IPS |
|
|
Image Segmentation (F32)
|
100% |
636
3.93 IPS |
|
|
Image Segmentation (F16)
|
100% |
639
3.95 IPS |
|
|
Image Segmentation (I8)
|
89% |
589
3.64 IPS |
|
|
Pose Estimation (F32)
|
100% |
436
1.76 IPS |
|
|
Pose Estimation (F16)
|
100% |
440
1.78 IPS |
|
|
Pose Estimation (I8)
|
80% |
124
0.50 IPS |
|
|
Object Detection (F32)
|
100% |
419
14.7 IPS |
|
|
Object Detection (F16)
|
100% |
633
22.2 IPS |
|
|
Object Detection (I8)
|
52% |
460
16.1 IPS |
|
|
Face Detection (F32)
|
100% |
658
7.56 IPS |
|
|
Face Detection (F16)
|
100% |
751
8.63 IPS |
|
|
Face Detection (I8)
|
75% |
418
4.81 IPS |
|
|
Text Classification (F32)
|
98% |
124
49.0 IPS |
|
|
Text Classification (F16)
|
98% |
100
39.7 IPS |
|
|
Machine Translation (F32)
|
100% |
679
104.6 IPS |
|
|
Machine Translation (F16)
|
100% |
690
106.4 IPS |
