iPad16,5
Geekbench ML Score
4670
Core ML CPU Inference Score
Geekbench ML 0.6.0 for iOS AArch64
Result Information
| Upload Date | May 22 2024 03:02 PM |
| Views | 1 |
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 | 2.08 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% |
1878
351.4 IPS |
|
|
Image Classification (F16)
|
100% |
2520
471.5 IPS |
|
|
Image Classification (I8)
|
99% |
2481
464.3 IPS |
|
|
Image Segmentation (F32)
|
100% |
1169
19.5 IPS |
|
|
Image Segmentation (F16)
|
100% |
1165
19.5 IPS |
|
|
Image Segmentation (I8)
|
100% |
1174
19.6 IPS |
|
|
Pose Estimation (F32)
|
100% |
9550
11.6 IPS |
|
|
Pose Estimation (F16)
|
100% |
17962
21.8 IPS |
|
|
Pose Estimation (I8)
|
100% |
17963
21.8 IPS |
|
|
Object Detection (F32)
|
100% |
1923
143.6 IPS |
|
|
Object Detection (F16)
|
100% |
2622
195.7 IPS |
|
|
Object Detection (I8)
|
97% |
1940
144.8 IPS |
|
|
Face Detection (F32)
|
100% |
3550
42.2 IPS |
|
|
Face Detection (F16)
|
97% |
5664
67.3 IPS |
|
|
Face Detection (I8)
|
97% |
5645
67.1 IPS |
|
|
Depth Estimation (F32)
|
100% |
7605
59.0 IPS |
|
|
Depth Estimation (F16)
|
100% |
11229
87.1 IPS |
|
|
Depth Estimation (I8)
|
99% |
11267
87.4 IPS |
|
|
Style Transfer (F32)
|
100% |
23410
30.8 IPS |
|
|
Style Transfer (F16)
|
100% |
34595
45.5 IPS |
|
|
Style Transfer (I8)
|
100% |
34727
45.7 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
5805
207.3 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
6765
241.6 IPS |
|
|
Image Super-Resolution (I8)
|
100% |
6767
241.7 IPS |
|
|
Text Classification (F32)
|
100% |
2733
3.93 KIPS |
|
|
Text Classification (F16)
|
100% |
4380
6.30 KIPS |
|
|
Text Classification (I8)
|
96% |
4381
6.30 KIPS |
|
|
Machine Translation (F32)
|
100% |
1630
30.0 IPS |
|
|
Machine Translation (F16)
|
100% |
1882
34.6 IPS |
|
|
Machine Translation (I8)
|
99% |
1620
29.8 IPS |
