iPad16,6
Geekbench ML Score
5286
Core ML CPU Inference Score
Geekbench ML 0.6.0 for iOS AArch64
Result Information
| Upload Date | August 15 2024 06:10 PM |
| Views | 1 |
System Information
| System Information | |
|---|---|
| Operating System | iOS 18.1 |
| Model | iPad16,6 |
| Model ID | iPad16,6 |
| Motherboard | J721AP |
| CPU Information | |
|---|---|
| Name | ARM |
| Topology | 1 Processor, 10 Cores |
| Identifier | ARM |
| Base Frequency | 4.41 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 6 Cores |
| L1 Instruction Cache | 128 KB x 1 |
| L1 Data Cache | 64.0 KB x 1 |
| L2 Cache | 4.00 MB x 1 |
| Memory Information | |
|---|---|
| Size | 15.07 GB |
| Inference Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Default |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
1972
369.1 IPS |
|
|
Image Classification (F16)
|
100% |
3269
611.8 IPS |
|
|
Image Classification (I8)
|
99% |
3341
625.1 IPS |
|
|
Image Segmentation (F32)
|
100% |
1321
22.1 IPS |
|
|
Image Segmentation (F16)
|
100% |
1707
28.5 IPS |
|
|
Image Segmentation (I8)
|
100% |
1700
28.4 IPS |
|
|
Pose Estimation (F32)
|
100% |
9703
11.7 IPS |
|
|
Pose Estimation (F16)
|
100% |
18214
22.1 IPS |
|
|
Pose Estimation (I8)
|
100% |
18239
22.1 IPS |
|
|
Object Detection (F32)
|
100% |
2029
151.5 IPS |
|
|
Object Detection (F16)
|
100% |
3136
234.1 IPS |
|
|
Object Detection (I8)
|
97% |
2038
152.2 IPS |
|
|
Face Detection (F32)
|
100% |
3848
45.8 IPS |
|
|
Face Detection (F16)
|
97% |
7326
87.1 IPS |
|
|
Face Detection (I8)
|
97% |
7369
87.6 IPS |
|
|
Depth Estimation (F32)
|
100% |
8234
63.9 IPS |
|
|
Depth Estimation (F16)
|
100% |
14615
113.3 IPS |
|
|
Depth Estimation (I8)
|
99% |
14633
113.5 IPS |
|
|
Style Transfer (F32)
|
100% |
24499
32.2 IPS |
|
|
Style Transfer (F16)
|
100% |
37356
49.1 IPS |
|
|
Style Transfer (I8)
|
100% |
37331
49.1 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
5962
212.9 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
6883
245.8 IPS |
|
|
Image Super-Resolution (I8)
|
100% |
6886
245.9 IPS |
|
|
Text Classification (F32)
|
100% |
2731
3.92 KIPS |
|
|
Text Classification (F16)
|
100% |
5304
7.62 KIPS |
|
|
Text Classification (I8)
|
96% |
5182
7.45 KIPS |
|
|
Machine Translation (F32)
|
100% |
1661
30.6 IPS |
|
|
Machine Translation (F16)
|
100% |
1971
36.3 IPS |
|
|
Machine Translation (I8)
|
99% |
1653
30.4 IPS |
