iPad (7th generation)
Geekbench ML Score
277
TensorFlow Lite CPU Inference Score
Geekbench ML 0.5.2 for iOS AArch64
Result Information
| Upload Date | November 05 2021 04:28 PM |
| Views | 1 |
System Information
| System Information | |
|---|---|
| Operating System | iOS 14.8 |
| 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% |
293
31.4 IPS |
|
|
Image Classification (F16)
|
100% |
277
29.7 IPS |
|
|
Image Classification (I8)
|
81% |
524
56.1 IPS |
|
|
Image Segmentation (F32)
|
100% |
499
3.08 IPS |
|
|
Image Segmentation (F16)
|
100% |
320
1.98 IPS |
|
|
Image Segmentation (I8)
|
89% |
359
2.22 IPS |
|
|
Pose Estimation (F32)
|
100% |
74
0.30 IPS |
|
|
Pose Estimation (F16)
|
100% |
71
0.29 IPS |
|
|
Pose Estimation (I8)
|
80% |
90
0.37 IPS |
|
|
Object Detection (F32)
|
100% |
235
8.25 IPS |
|
|
Object Detection (F16)
|
100% |
375
13.2 IPS |
|
|
Object Detection (I8)
|
52% |
250
8.77 IPS |
|
|
Face Detection (F32)
|
100% |
388
4.46 IPS |
|
|
Face Detection (F16)
|
100% |
313
3.60 IPS |
|
|
Face Detection (I8)
|
75% |
336
3.86 IPS |
|
|
Text Classification (F32)
|
100% |
277
109.4 IPS |
|
|
Text Classification (F16)
|
100% |
508
200.8 IPS |
|
|
Machine Translation (F32)
|
100% |
431
66.4 IPS |
|
|
Machine Translation (F16)
|
100% |
434
66.9 IPS |
