iPad (5th generation)
Geekbench ML Score
247
Core ML CPU Inference Score
Geekbench ML 0.6.0 for iOS AArch64
Result Information
| Upload Date | July 18 2024 03:44 PM |
| Views | 2 |
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 | CPU |
| Device | Default |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
138
25.8 IPS |
|
|
Image Classification (F16)
|
100% |
124
23.2 IPS |
|
|
Image Classification (I8)
|
99% |
124
23.2 IPS |
|
|
Image Segmentation (F32)
|
100% |
106
1.76 IPS |
|
|
Image Segmentation (F16)
|
100% |
107
1.79 IPS |
|
|
Image Segmentation (I8)
|
100% |
107
1.79 IPS |
|
|
Pose Estimation (F32)
|
100% |
740
0.90 IPS |
|
|
Pose Estimation (F16)
|
100% |
736
0.89 IPS |
|
|
Pose Estimation (I8)
|
100% |
731
0.88 IPS |
|
|
Object Detection (F32)
|
100% |
152
11.3 IPS |
|
|
Object Detection (F16)
|
100% |
136
10.2 IPS |
|
|
Object Detection (I8)
|
97% |
151
11.3 IPS |
|
|
Face Detection (F32)
|
100% |
264
3.14 IPS |
|
|
Face Detection (F16)
|
100% |
262
3.11 IPS |
|
|
Face Detection (I8)
|
99% |
262
3.11 IPS |
|
|
Depth Estimation (F32)
|
100% |
366
2.84 IPS |
|
|
Depth Estimation (F16)
|
100% |
343
2.66 IPS |
|
|
Depth Estimation (I8)
|
99% |
343
2.66 IPS |
|
|
Style Transfer (F32)
|
100% |
1100
1.45 IPS |
|
|
Style Transfer (F16)
|
100% |
1100
1.45 IPS |
|
|
Style Transfer (I8)
|
100% |
1102
1.45 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
340
12.2 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
337
12.0 IPS |
|
|
Image Super-Resolution (I8)
|
100% |
342
12.2 IPS |
|
|
Text Classification (F32)
|
100% |
118
170.2 IPS |
|
|
Text Classification (F16)
|
100% |
97
139.4 IPS |
|
|
Text Classification (I8)
|
96% |
97
140.1 IPS |
|
|
Machine Translation (F32)
|
100% |
185
3.40 IPS |
|
|
Machine Translation (F16)
|
100% |
164
3.02 IPS |
|
|
Machine Translation (I8)
|
99% |
153
2.82 IPS |
