iPad16,5
Geekbench ML Score
4658
Core ML CPU Inference Score
Geekbench ML 0.6.0 for iOS AArch64
Result Information
| Upload Date | July 27 2024 07:20 AM |
| 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 | 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% |
1902
356.0 IPS |
|
|
Image Classification (F16)
|
100% |
2530
473.5 IPS |
|
|
Image Classification (I8)
|
99% |
2522
472.0 IPS |
|
|
Image Segmentation (F32)
|
100% |
1178
19.7 IPS |
|
|
Image Segmentation (F16)
|
100% |
1141
19.1 IPS |
|
|
Image Segmentation (I8)
|
100% |
1136
19.0 IPS |
|
|
Pose Estimation (F32)
|
100% |
9486
11.5 IPS |
|
|
Pose Estimation (F16)
|
100% |
17871
21.6 IPS |
|
|
Pose Estimation (I8)
|
100% |
17880
21.7 IPS |
|
|
Object Detection (F32)
|
100% |
1884
140.7 IPS |
|
|
Object Detection (F16)
|
100% |
2577
192.4 IPS |
|
|
Object Detection (I8)
|
97% |
1884
140.7 IPS |
|
|
Face Detection (F32)
|
100% |
3508
41.7 IPS |
|
|
Face Detection (F16)
|
97% |
5538
65.8 IPS |
|
|
Face Detection (I8)
|
97% |
5504
65.4 IPS |
|
|
Depth Estimation (F32)
|
100% |
7490
58.1 IPS |
|
|
Depth Estimation (F16)
|
100% |
10937
84.8 IPS |
|
|
Depth Estimation (I8)
|
99% |
10985
85.2 IPS |
|
|
Style Transfer (F32)
|
100% |
23286
30.6 IPS |
|
|
Style Transfer (F16)
|
100% |
34147
44.9 IPS |
|
|
Style Transfer (I8)
|
100% |
34062
44.8 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
5880
210.0 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
6965
248.7 IPS |
|
|
Image Super-Resolution (I8)
|
100% |
6949
248.2 IPS |
|
|
Text Classification (F32)
|
100% |
2826
4.06 KIPS |
|
|
Text Classification (F16)
|
100% |
4645
6.68 KIPS |
|
|
Text Classification (I8)
|
96% |
4648
6.68 KIPS |
|
|
Machine Translation (F32)
|
100% |
1609
29.6 IPS |
|
|
Machine Translation (F16)
|
100% |
1850
34.0 IPS |
|
|
Machine Translation (I8)
|
99% |
1607
29.6 IPS |
