iPad (7th generation)
Geekbench ML Score
403
TensorFlow Lite CPU Inference Score
Geekbench ML 0.5.2 for iOS AArch64
Result Information
| Upload Date | October 06 2022 06:31 PM |
| Views | 1 |
System Information
| System Information | |
|---|---|
| Operating System | iOS 15.7 |
| Model | iPad (7th generation) |
| Model ID | iPad7,11 |
| Motherboard | J171AP |
| 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 | 2.93 GB |
| Inference Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
276
29.6 IPS |
|
|
Image Classification (F16)
|
100% |
275
29.5 IPS |
|
|
Image Classification (I8)
|
81% |
509
54.6 IPS |
|
|
Image Segmentation (F32)
|
100% |
477
2.95 IPS |
|
|
Image Segmentation (F16)
|
100% |
469
2.90 IPS |
|
|
Image Segmentation (I8)
|
89% |
884
5.46 IPS |
|
|
Pose Estimation (F32)
|
100% |
156
0.63 IPS |
|
|
Pose Estimation (F16)
|
100% |
140
0.57 IPS |
|
|
Pose Estimation (I8)
|
80% |
168
0.68 IPS |
|
|
Object Detection (F32)
|
100% |
397
13.9 IPS |
|
|
Object Detection (F16)
|
100% |
402
14.1 IPS |
|
|
Object Detection (I8)
|
52% |
628
22.1 IPS |
|
|
Face Detection (F32)
|
100% |
527
6.06 IPS |
|
|
Face Detection (F16)
|
100% |
520
5.97 IPS |
|
|
Face Detection (I8)
|
75% |
583
6.69 IPS |
|
|
Text Classification (F32)
|
100% |
492
194.5 IPS |
|
|
Text Classification (F16)
|
100% |
496
196.0 IPS |
|
|
Machine Translation (F32)
|
100% |
527
81.2 IPS |
|
|
Machine Translation (F16)
|
100% |
569
87.7 IPS |
