iPad16,3
Geekbench ML Score
4712
Core ML CPU Inference Score
Geekbench ML 0.6.0 for iOS AArch64
Result Information
| Upload Date | July 19 2024 12:11 AM |
| Views | 1 |
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 | 4.40 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% |
1909
357.2 IPS |
|
|
Image Classification (F16)
|
100% |
2580
482.9 IPS |
|
|
Image Classification (I8)
|
99% |
2577
482.2 IPS |
|
|
Image Segmentation (F32)
|
100% |
1220
20.4 IPS |
|
|
Image Segmentation (F16)
|
100% |
1181
19.7 IPS |
|
|
Image Segmentation (I8)
|
100% |
1186
19.8 IPS |
|
|
Pose Estimation (F32)
|
100% |
9526
11.5 IPS |
|
|
Pose Estimation (F16)
|
100% |
18027
21.8 IPS |
|
|
Pose Estimation (I8)
|
100% |
17999
21.8 IPS |
|
|
Object Detection (F32)
|
100% |
1927
143.8 IPS |
|
|
Object Detection (F16)
|
100% |
2661
198.6 IPS |
|
|
Object Detection (I8)
|
97% |
1940
144.8 IPS |
|
|
Face Detection (F32)
|
100% |
3586
42.6 IPS |
|
|
Face Detection (F16)
|
97% |
5654
67.2 IPS |
|
|
Face Detection (I8)
|
97% |
5647
67.1 IPS |
|
|
Depth Estimation (F32)
|
100% |
7577
58.8 IPS |
|
|
Depth Estimation (F16)
|
100% |
11278
87.5 IPS |
|
|
Depth Estimation (I8)
|
99% |
11295
87.6 IPS |
|
|
Style Transfer (F32)
|
100% |
23497
30.9 IPS |
|
|
Style Transfer (F16)
|
100% |
34719
45.7 IPS |
|
|
Style Transfer (I8)
|
100% |
34695
45.6 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
5886
210.2 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
6805
243.0 IPS |
|
|
Image Super-Resolution (I8)
|
100% |
6836
244.1 IPS |
|
|
Text Classification (F32)
|
100% |
2720
3.91 KIPS |
|
|
Text Classification (F16)
|
100% |
4495
6.46 KIPS |
|
|
Text Classification (I8)
|
96% |
4516
6.49 KIPS |
|
|
Machine Translation (F32)
|
100% |
1635
30.1 IPS |
|
|
Machine Translation (F16)
|
100% |
1883
34.7 IPS |
|
|
Machine Translation (I8)
|
99% |
1625
29.9 IPS |
