iPad (5th generation)
Geekbench ML Score
413
Core ML GPU Inference Score
Geekbench ML 0.6.0 for iOS AArch64
Result Information
| Upload Date | July 18 2024 03:53 PM |
| Views | 3 |
System Information
| System Information | |
|---|---|
| Operating System | iOS 16.7.8 |
| Model | iPad (5th generation) |
| Model ID | iPad6,11 |
| Motherboard | J71tAP |
| CPU Information | |
|---|---|
| Name | Apple A9 |
| Topology | 1 Processor, 2 Cores |
| Identifier | ARM |
| Base Frequency | 1.80 GHz |
| Cluster 1 | 2 Cores |
| 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 | Core ML |
| Backend | GPU |
| Device | Default |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
173
32.4 IPS |
|
|
Image Classification (F16)
|
100% |
166
31.1 IPS |
|
|
Image Classification (I8)
|
99% |
173
32.5 IPS |
|
|
Image Segmentation (F32)
|
100% |
136
2.27 IPS |
|
|
Image Segmentation (F16)
|
100% |
136
2.28 IPS |
|
|
Image Segmentation (I8)
|
100% |
137
2.28 IPS |
|
|
Pose Estimation (F32)
|
100% |
1034
1.25 IPS |
|
|
Pose Estimation (F16)
|
100% |
1033
1.25 IPS |
|
|
Pose Estimation (I8)
|
100% |
1038
1.26 IPS |
|
|
Object Detection (F32)
|
100% |
244
18.2 IPS |
|
|
Object Detection (F16)
|
100% |
258
19.2 IPS |
|
|
Object Detection (I8)
|
97% |
273
20.4 IPS |
|
|
Face Detection (F32)
|
100% |
976
11.6 IPS |
|
|
Face Detection (F16)
|
100% |
939
11.2 IPS |
|
|
Face Detection (I8)
|
99% |
944
11.2 IPS |
|
|
Depth Estimation (F32)
|
100% |
1224
9.49 IPS |
|
|
Depth Estimation (F16)
|
100% |
1187
9.20 IPS |
|
|
Depth Estimation (I8)
|
99% |
1166
9.04 IPS |
|
|
Style Transfer (F32)
|
100% |
2790
3.67 IPS |
|
|
Style Transfer (F16)
|
100% |
2757
3.63 IPS |
|
|
Style Transfer (I8)
|
100% |
2727
3.59 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
708
25.3 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
687
24.5 IPS |
|
|
Image Super-Resolution (I8)
|
100% |
674
24.1 IPS |
|
|
Text Classification (F32)
|
100% |
52
74.1 IPS |
|
|
Text Classification (F16)
|
100% |
86
124.0 IPS |
|
|
Text Classification (I8)
|
96% |
84
121.0 IPS |
|
|
Machine Translation (F32)
|
100% |
174
3.20 IPS |
|
|
Machine Translation (F16)
|
100% |
145
2.68 IPS |
|
|
Machine Translation (I8)
|
99% |
138
2.54 IPS |
