iPad13,17
Geekbench ML Score
2724
TensorFlow Lite Core ML Inference Score
Geekbench ML 0.5.2 for iOS AArch64
Result Information
| Upload Date | May 29 2022 03:59 AM |
| Views | 1 |
System Information
| System Information | |
|---|---|
| Operating System | iOS 15.5 |
| Model | iPad13,17 |
| Model ID | iPad13,17 |
| Motherboard | J408AP |
| CPU Information | |
|---|---|
| Name | ARM |
| Topology | 1 Processor, 8 Cores |
| Identifier | ARM |
| Base Frequency | 3.20 GHz |
| L1 Instruction Cache | 128 KB x 1 |
| L1 Data Cache | 64.0 KB x 1 |
| L2 Cache | 4.00 MB x 1 |
| Memory Information | |
|---|---|
| Size | 7.45 GB |
| Inference Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | Core ML |
| Device | |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
6065
649.9 IPS |
|
|
Image Classification (F16)
|
100% |
6071
650.5 IPS |
|
|
Image Classification (I8)
|
81% |
688
73.7 IPS |
|
|
Image Segmentation (F32)
|
100% |
2259
14.0 IPS |
|
|
Image Segmentation (F16)
|
100% |
2226
13.7 IPS |
|
|
Image Segmentation (I8)
|
89% |
1241
7.67 IPS |
|
|
Pose Estimation (F32)
|
100% |
20181
81.7 IPS |
|
|
Pose Estimation (F16)
|
100% |
19093
77.3 IPS |
|
|
Pose Estimation (I8)
|
80% |
238
0.96 IPS |
|
|
Object Detection (F32)
|
100% |
7540
264.6 IPS |
|
|
Object Detection (F16)
|
100% |
7330
257.2 IPS |
|
|
Object Detection (I8)
|
52% |
985
34.6 IPS |
|
|
Face Detection (F32)
|
100% |
8002
91.9 IPS |
|
|
Face Detection (F16)
|
100% |
7925
91.1 IPS |
|
|
Face Detection (I8)
|
75% |
958
11.0 IPS |
|
|
Text Classification (F32)
|
100% |
1064
421.0 IPS |
|
|
Text Classification (F16)
|
100% |
1077
426.2 IPS |
|
|
Machine Translation (F32)
|
100% |
1842
283.8 IPS |
|
|
Machine Translation (F16)
|
100% |
1845
284.3 IPS |
