iPad (5th generation)
Geekbench ML Score
240
Core ML CPU Inference Score
Geekbench ML 0.6.0 for iOS AArch64
Result Information
| Upload Date | September 26 2025 09:30 AM |
| Views | 4 |
System Information
| System Information | |
|---|---|
| Operating System | iOS 16.7.12 |
| 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 |
| 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% |
134
25.1 IPS |
|
|
Image Classification (F16)
|
100% |
121
22.6 IPS |
|
|
Image Classification (I8)
|
99% |
120
22.5 IPS |
|
|
Image Segmentation (F32)
|
100% |
104
1.73 IPS |
|
|
Image Segmentation (F16)
|
100% |
106
1.77 IPS |
|
|
Image Segmentation (I8)
|
100% |
106
1.76 IPS |
|
|
Pose Estimation (F32)
|
100% |
661
0.80 IPS |
|
|
Pose Estimation (F16)
|
100% |
646
0.78 IPS |
|
|
Pose Estimation (I8)
|
100% |
663
0.80 IPS |
|
|
Object Detection (F32)
|
100% |
142
10.6 IPS |
|
|
Object Detection (F16)
|
100% |
131
9.80 IPS |
|
|
Object Detection (I8)
|
97% |
147
11.0 IPS |
|
|
Face Detection (F32)
|
100% |
259
3.09 IPS |
|
|
Face Detection (F16)
|
100% |
254
3.02 IPS |
|
|
Face Detection (I8)
|
99% |
256
3.04 IPS |
|
|
Depth Estimation (F32)
|
100% |
358
2.78 IPS |
|
|
Depth Estimation (F16)
|
100% |
337
2.61 IPS |
|
|
Depth Estimation (I8)
|
99% |
335
2.60 IPS |
|
|
Style Transfer (F32)
|
100% |
1050
1.38 IPS |
|
|
Style Transfer (F16)
|
100% |
1029
1.35 IPS |
|
|
Style Transfer (I8)
|
100% |
1001
1.32 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
307
11.0 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
313
11.2 IPS |
|
|
Image Super-Resolution (I8)
|
100% |
308
11.0 IPS |
|
|
Text Classification (F32)
|
100% |
140
201.6 IPS |
|
|
Text Classification (F16)
|
100% |
101
145.0 IPS |
|
|
Text Classification (I8)
|
96% |
92
131.9 IPS |
|
|
Machine Translation (F32)
|
100% |
181
3.34 IPS |
|
|
Machine Translation (F16)
|
100% |
159
2.92 IPS |
|
|
Machine Translation (I8)
|
99% |
180
3.31 IPS |
