iPad16,6
Geekbench ML Score
4702
Core ML CPU Inference Score
Geekbench ML 0.6.0 for iOS AArch64
Result Information
| Upload Date | July 15 2024 03:20 PM |
| Views | 1 |
System Information
| System Information | |
|---|---|
| Operating System | iOS 17.5.1 |
| 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 | 15.05 GB |
| Inference Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Default |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
1915
358.3 IPS |
|
|
Image Classification (F16)
|
100% |
2554
477.9 IPS |
|
|
Image Classification (I8)
|
99% |
2559
478.9 IPS |
|
|
Image Segmentation (F32)
|
100% |
1192
19.9 IPS |
|
|
Image Segmentation (F16)
|
100% |
1166
19.5 IPS |
|
|
Image Segmentation (I8)
|
100% |
1183
19.8 IPS |
|
|
Pose Estimation (F32)
|
100% |
9470
11.5 IPS |
|
|
Pose Estimation (F16)
|
100% |
17916
21.7 IPS |
|
|
Pose Estimation (I8)
|
100% |
17953
21.7 IPS |
|
|
Object Detection (F32)
|
100% |
1958
146.2 IPS |
|
|
Object Detection (F16)
|
100% |
2673
199.5 IPS |
|
|
Object Detection (I8)
|
97% |
1949
145.5 IPS |
|
|
Face Detection (F32)
|
100% |
3561
42.3 IPS |
|
|
Face Detection (F16)
|
97% |
5647
67.1 IPS |
|
|
Face Detection (I8)
|
97% |
5641
67.1 IPS |
|
|
Depth Estimation (F32)
|
100% |
7619
59.1 IPS |
|
|
Depth Estimation (F16)
|
100% |
11301
87.6 IPS |
|
|
Depth Estimation (I8)
|
99% |
11300
87.6 IPS |
|
|
Style Transfer (F32)
|
100% |
23519
30.9 IPS |
|
|
Style Transfer (F16)
|
100% |
35096
46.2 IPS |
|
|
Style Transfer (I8)
|
100% |
35005
46.0 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
5787
206.7 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
6812
243.3 IPS |
|
|
Image Super-Resolution (I8)
|
100% |
6827
243.8 IPS |
|
|
Text Classification (F32)
|
100% |
2738
3.93 KIPS |
|
|
Text Classification (F16)
|
100% |
4383
6.30 KIPS |
|
|
Text Classification (I8)
|
96% |
4427
6.36 KIPS |
|
|
Machine Translation (F32)
|
100% |
1648
30.3 IPS |
|
|
Machine Translation (F16)
|
100% |
1891
34.8 IPS |
|
|
Machine Translation (I8)
|
99% |
1630
30.0 IPS |
