iPad (7th generation)
Geekbench ML Score
576
Core ML Neural Engine Inference Score
Geekbench ML 0.6.0 for iOS AArch64
Result Information
| Upload Date | July 04 2024 07:24 AM |
| Views | 1 |
System Information
| System Information | |
|---|---|
| Operating System | iOS 16.2 |
| Model | iPad (7th generation) |
| Model ID | iPad7,11 |
| Motherboard | J171AP |
| CPU Information | |
|---|---|
| Name | Apple A10 Fusion |
| Topology | 1 Processor, 2 Cores |
| Identifier | ARM |
| Base Frequency | 2.32 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 | 2.93 GB |
| Inference Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Default |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
167
31.3 IPS |
|
|
Image Classification (F16)
|
100% |
145
27.2 IPS |
|
|
Image Classification (I8)
|
99% |
144
26.9 IPS |
|
|
Image Segmentation (F32)
|
100% |
171
2.85 IPS |
|
|
Image Segmentation (F16)
|
100% |
172
2.87 IPS |
|
|
Image Segmentation (I8)
|
100% |
172
2.87 IPS |
|
|
Pose Estimation (F32)
|
100% |
1463
1.77 IPS |
|
|
Pose Estimation (F16)
|
100% |
1448
1.75 IPS |
|
|
Pose Estimation (I8)
|
100% |
1455
1.76 IPS |
|
|
Object Detection (F32)
|
100% |
409
30.5 IPS |
|
|
Object Detection (F16)
|
100% |
388
28.9 IPS |
|
|
Object Detection (I8)
|
97% |
401
30.0 IPS |
|
|
Face Detection (F32)
|
100% |
1419
16.9 IPS |
|
|
Face Detection (F16)
|
100% |
1319
15.7 IPS |
|
|
Face Detection (I8)
|
99% |
1322
15.7 IPS |
|
|
Depth Estimation (F32)
|
100% |
1952
15.1 IPS |
|
|
Depth Estimation (F16)
|
100% |
1790
13.9 IPS |
|
|
Depth Estimation (I8)
|
99% |
1931
15.0 IPS |
|
|
Style Transfer (F32)
|
100% |
4082
5.37 IPS |
|
|
Style Transfer (F16)
|
100% |
4119
5.42 IPS |
|
|
Style Transfer (I8)
|
100% |
4031
5.30 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
1039
37.1 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
1036
37.0 IPS |
|
|
Image Super-Resolution (I8)
|
100% |
1037
37.0 IPS |
|
|
Text Classification (F32)
|
100% |
67
96.8 IPS |
|
|
Text Classification (F16)
|
100% |
124
178.7 IPS |
|
|
Text Classification (I8)
|
96% |
124
178.8 IPS |
|
|
Machine Translation (F32)
|
100% |
265
4.87 IPS |
|
|
Machine Translation (F16)
|
100% |
220
4.05 IPS |
|
|
Machine Translation (I8)
|
99% |
260
4.78 IPS |
