iPad (5th generation)
Geekbench ML Score
315
TensorFlow Lite CPU Inference Score
Geekbench ML 0.5.2 for iOS AArch64
Result Information
| Upload Date | February 22 2023 09:17 AM |
| Views | 2 |
System Information
| System Information | |
|---|---|
| Operating System | iOS 16.3.1 |
| Model | iPad (5th generation) |
| Model ID | iPad6,11 |
| Motherboard | J71sAP |
| CPU Information | |
|---|---|
| Name | Apple A9 |
| Topology | 1 Processor, 2 Cores |
| Identifier | ARM |
| Base Frequency | 1.80 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 | CPU |
| Device | |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
197
21.2 IPS |
|
|
Image Classification (F16)
|
100% |
200
21.5 IPS |
|
|
Image Classification (I8)
|
81% |
330
35.3 IPS |
|
|
Image Segmentation (F32)
|
100% |
381
2.36 IPS |
|
|
Image Segmentation (F16)
|
100% |
393
2.43 IPS |
|
|
Image Segmentation (I8)
|
89% |
641
3.96 IPS |
|
|
Pose Estimation (F32)
|
100% |
116
0.47 IPS |
|
|
Pose Estimation (F16)
|
100% |
112
0.45 IPS |
|
|
Pose Estimation (I8)
|
80% |
113
0.46 IPS |
|
|
Object Detection (F32)
|
100% |
335
11.8 IPS |
|
|
Object Detection (F16)
|
100% |
343
12.0 IPS |
|
|
Object Detection (I8)
|
52% |
459
16.1 IPS |
|
|
Face Detection (F32)
|
100% |
411
4.73 IPS |
|
|
Face Detection (F16)
|
100% |
397
4.56 IPS |
|
|
Face Detection (I8)
|
75% |
445
5.12 IPS |
|
|
Text Classification (F32)
|
100% |
450
177.9 IPS |
|
|
Text Classification (F16)
|
100% |
468
185.2 IPS |
|
|
Machine Translation (F32)
|
100% |
448
69.0 IPS |
|
|
Machine Translation (F16)
|
100% |
468
72.2 IPS |
