iPad16,3
Geekbench ML Score
4673
Core ML CPU Inference Score
Geekbench ML 0.6.0 for iOS AArch64
Result Information
| Upload Date | May 22 2024 03:52 PM |
| Views | 7 |
System Information
| System Information | |
|---|---|
| Operating System | iOS 17.5.1 |
| Model | iPad16,3 |
| Model ID | iPad16,3 |
| Motherboard | J717AP |
| 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 | 7.28 GB |
| Inference Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Default |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
1883
352.4 IPS |
|
|
Image Classification (F16)
|
100% |
2521
471.7 IPS |
|
|
Image Classification (I8)
|
99% |
2519
471.3 IPS |
|
|
Image Segmentation (F32)
|
100% |
1183
19.8 IPS |
|
|
Image Segmentation (F16)
|
100% |
1158
19.3 IPS |
|
|
Image Segmentation (I8)
|
100% |
1155
19.3 IPS |
|
|
Pose Estimation (F32)
|
100% |
9546
11.6 IPS |
|
|
Pose Estimation (F16)
|
100% |
18005
21.8 IPS |
|
|
Pose Estimation (I8)
|
100% |
18008
21.8 IPS |
|
|
Object Detection (F32)
|
100% |
1907
142.4 IPS |
|
|
Object Detection (F16)
|
100% |
2604
194.4 IPS |
|
|
Object Detection (I8)
|
97% |
1907
142.4 IPS |
|
|
Face Detection (F32)
|
100% |
3548
42.2 IPS |
|
|
Face Detection (F16)
|
97% |
5579
66.3 IPS |
|
|
Face Detection (I8)
|
97% |
5580
66.4 IPS |
|
|
Depth Estimation (F32)
|
100% |
7575
58.7 IPS |
|
|
Depth Estimation (F16)
|
100% |
11090
86.0 IPS |
|
|
Depth Estimation (I8)
|
99% |
11119
86.2 IPS |
|
|
Style Transfer (F32)
|
100% |
23437
30.8 IPS |
|
|
Style Transfer (F16)
|
100% |
34405
45.3 IPS |
|
|
Style Transfer (I8)
|
100% |
34425
45.3 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
5963
213.0 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
6880
245.7 IPS |
|
|
Image Super-Resolution (I8)
|
100% |
6863
245.1 IPS |
|
|
Text Classification (F32)
|
100% |
2769
3.98 KIPS |
|
|
Text Classification (F16)
|
100% |
4510
6.48 KIPS |
|
|
Text Classification (I8)
|
96% |
4507
6.48 KIPS |
|
|
Machine Translation (F32)
|
100% |
1622
29.9 IPS |
|
|
Machine Translation (F16)
|
100% |
1862
34.3 IPS |
|
|
Machine Translation (I8)
|
99% |
1617
29.7 IPS |
