iPad16,5
Geekbench ML Score
4664
Core ML CPU Inference Score
Geekbench ML 0.6.0 for iOS AArch64
Result Information
| Upload Date | July 27 2024 07:26 AM |
| Views | 2 |
System Information
| System Information | |
|---|---|
| Operating System | iOS 17.5.1 |
| Model | iPad16,5 |
| Model ID | iPad16,5 |
| Motherboard | J720AP |
| CPU Information | |
|---|---|
| Name | ARM |
| Topology | 1 Processor, 9 Cores |
| Identifier | ARM |
| Base Frequency | 4.41 GHz |
| Cluster 1 | 3 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 | 7.20 GB |
| Inference Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Default |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
1903
356.1 IPS |
|
|
Image Classification (F16)
|
100% |
2505
468.7 IPS |
|
|
Image Classification (I8)
|
99% |
2515
470.6 IPS |
|
|
Image Segmentation (F32)
|
100% |
1177
19.7 IPS |
|
|
Image Segmentation (F16)
|
100% |
1151
19.2 IPS |
|
|
Image Segmentation (I8)
|
100% |
1148
19.2 IPS |
|
|
Pose Estimation (F32)
|
100% |
9470
11.5 IPS |
|
|
Pose Estimation (F16)
|
100% |
17925
21.7 IPS |
|
|
Pose Estimation (I8)
|
100% |
17872
21.6 IPS |
|
|
Object Detection (F32)
|
100% |
1889
141.0 IPS |
|
|
Object Detection (F16)
|
100% |
2573
192.1 IPS |
|
|
Object Detection (I8)
|
97% |
1898
141.7 IPS |
|
|
Face Detection (F32)
|
100% |
3486
41.4 IPS |
|
|
Face Detection (F16)
|
97% |
5530
65.7 IPS |
|
|
Face Detection (I8)
|
97% |
5538
65.9 IPS |
|
|
Depth Estimation (F32)
|
100% |
7498
58.1 IPS |
|
|
Depth Estimation (F16)
|
100% |
11001
85.3 IPS |
|
|
Depth Estimation (I8)
|
99% |
10992
85.2 IPS |
|
|
Style Transfer (F32)
|
100% |
23231
30.6 IPS |
|
|
Style Transfer (F16)
|
100% |
34019
44.7 IPS |
|
|
Style Transfer (I8)
|
100% |
34118
44.9 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
5882
210.1 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
6950
248.2 IPS |
|
|
Image Super-Resolution (I8)
|
100% |
6980
249.3 IPS |
|
|
Text Classification (F32)
|
100% |
2844
4.09 KIPS |
|
|
Text Classification (F16)
|
100% |
4661
6.70 KIPS |
|
|
Text Classification (I8)
|
96% |
4659
6.70 KIPS |
|
|
Machine Translation (F32)
|
100% |
1614
29.7 IPS |
|
|
Machine Translation (F16)
|
100% |
1851
34.1 IPS |
|
|
Machine Translation (I8)
|
99% |
1613
29.7 IPS |
