iPad (6th generation)
Geekbench ML Score
64
Core ML CPU Inference Score
Geekbench ML 0.6.0 for iOS AArch64
Result Information
| Upload Date | August 18 2024 12:57 AM |
| Views | 1 |
System Information
| System Information | |
|---|---|
| Operating System | iOS 17.6.1 |
| Model | iPad (6th generation) |
| Model ID | iPad7,5 |
| Motherboard | J71bAP |
| 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 | 1.93 GB |
| Inference Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Default |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
256
47.9 IPS |
|
|
Image Classification (F16)
|
100% |
9
1.75 IPS |
|
|
Image Classification (I8)
|
99% |
9
1.65 IPS |
|
|
Image Segmentation (F32)
|
100% |
149
2.50 IPS |
|
|
Image Segmentation (F16)
|
100% |
11
0.18 IPS |
|
|
Image Segmentation (I8)
|
100% |
11
0.18 IPS |
|
|
Pose Estimation (F32)
|
100% |
998
1.21 IPS |
|
|
Pose Estimation (F16)
|
100% |
13
0.02 IPS |
|
|
Pose Estimation (I8)
|
100% |
13
0.02 IPS |
|
|
Object Detection (F32)
|
100% |
236
17.6 IPS |
|
|
Object Detection (F16)
|
100% |
9
0.70 IPS |
|
|
Object Detection (I8)
|
97% |
237
17.7 IPS |
|
|
Face Detection (F32)
|
100% |
460
5.47 IPS |
|
|
Face Detection (F16)
|
98% |
29
0.34 IPS |
|
|
Face Detection (I8)
|
97% |
27
0.32 IPS |
|
|
Depth Estimation (F32)
|
100% |
547
4.24 IPS |
|
|
Depth Estimation (F16)
|
100% |
20
0.15 IPS |
|
|
Depth Estimation (I8)
|
99% |
17
0.13 IPS |
|
|
Style Transfer (F32)
|
100% |
1459
1.92 IPS |
|
|
Style Transfer (F16)
|
100% |
44
0.06 IPS |
|
|
Style Transfer (I8)
|
100% |
43
0.06 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
541
19.3 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
10
0.35 IPS |
|
|
Image Super-Resolution (I8)
|
100% |
9
0.31 IPS |
|
|
Text Classification (F32)
|
100% |
176
253.6 IPS |
|
|
Text Classification (F16)
|
100% |
156
224.8 IPS |
|
|
Text Classification (I8)
|
96% |
157
225.0 IPS |
|
|
Machine Translation (F32)
|
100% |
238
4.38 IPS |
|
|
Machine Translation (F16)
|
100% |
21
0.39 IPS |
|
|
Machine Translation (I8)
|
99% |
256
4.71 IPS |
