iPad (5th generation)
Geekbench ML Score
414
Core ML Neural Engine Inference Score
Geekbench ML 0.6.0 for iOS AArch64
Result Information
| Upload Date | July 18 2024 04:01 PM |
| Views | 4 |
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 | Neural Engine |
| Device | Default |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
170
31.9 IPS |
|
|
Image Classification (F16)
|
100% |
164
30.7 IPS |
|
|
Image Classification (I8)
|
99% |
171
32.1 IPS |
|
|
Image Segmentation (F32)
|
100% |
136
2.28 IPS |
|
|
Image Segmentation (F16)
|
100% |
135
2.26 IPS |
|
|
Image Segmentation (I8)
|
100% |
136
2.28 IPS |
|
|
Pose Estimation (F32)
|
100% |
1039
1.26 IPS |
|
|
Pose Estimation (F16)
|
100% |
1038
1.26 IPS |
|
|
Pose Estimation (I8)
|
100% |
1035
1.25 IPS |
|
|
Object Detection (F32)
|
100% |
266
19.8 IPS |
|
|
Object Detection (F16)
|
100% |
265
19.8 IPS |
|
|
Object Detection (I8)
|
97% |
251
18.8 IPS |
|
|
Face Detection (F32)
|
100% |
1007
12.0 IPS |
|
|
Face Detection (F16)
|
100% |
938
11.1 IPS |
|
|
Face Detection (I8)
|
99% |
918
10.9 IPS |
|
|
Depth Estimation (F32)
|
100% |
1203
9.33 IPS |
|
|
Depth Estimation (F16)
|
100% |
1159
8.99 IPS |
|
|
Depth Estimation (I8)
|
99% |
1206
9.35 IPS |
|
|
Style Transfer (F32)
|
100% |
2821
3.71 IPS |
|
|
Style Transfer (F16)
|
100% |
2773
3.65 IPS |
|
|
Style Transfer (I8)
|
100% |
2808
3.69 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
671
24.0 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
666
23.8 IPS |
|
|
Image Super-Resolution (I8)
|
100% |
646
23.1 IPS |
|
|
Text Classification (F32)
|
100% |
46
65.9 IPS |
|
|
Text Classification (F16)
|
100% |
86
124.1 IPS |
|
|
Text Classification (I8)
|
96% |
83
119.9 IPS |
|
|
Machine Translation (F32)
|
100% |
175
3.22 IPS |
|
|
Machine Translation (F16)
|
100% |
149
2.74 IPS |
|
|
Machine Translation (I8)
|
99% |
175
3.21 IPS |
