iPad16,5
Geekbench ML Score
4696
Core ML CPU Inference Score
Geekbench ML 0.6.0 for iOS AArch64
Result Information
| Upload Date | May 18 2024 08:42 PM |
| Views | 1 |
System Information
| System Information | |
|---|---|
| Operating System | iOS 17.5 |
| Model | iPad16,5 |
| Model ID | iPad16,5 |
| Motherboard | J720AP |
| 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 | 7.20 GB |
| Inference Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Default |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
1914
358.3 IPS |
|
|
Image Classification (F16)
|
100% |
2561
479.3 IPS |
|
|
Image Classification (I8)
|
99% |
2576
482.0 IPS |
|
|
Image Segmentation (F32)
|
100% |
1205
20.1 IPS |
|
|
Image Segmentation (F16)
|
100% |
1188
19.8 IPS |
|
|
Image Segmentation (I8)
|
100% |
1185
19.8 IPS |
|
|
Pose Estimation (F32)
|
100% |
9515
11.5 IPS |
|
|
Pose Estimation (F16)
|
100% |
17937
21.7 IPS |
|
|
Pose Estimation (I8)
|
100% |
17926
21.7 IPS |
|
|
Object Detection (F32)
|
100% |
1940
144.9 IPS |
|
|
Object Detection (F16)
|
100% |
2655
198.2 IPS |
|
|
Object Detection (I8)
|
97% |
1935
144.5 IPS |
|
|
Face Detection (F32)
|
100% |
3588
42.7 IPS |
|
|
Face Detection (F16)
|
97% |
5652
67.2 IPS |
|
|
Face Detection (I8)
|
97% |
5656
67.2 IPS |
|
|
Depth Estimation (F32)
|
100% |
7567
58.7 IPS |
|
|
Depth Estimation (F16)
|
100% |
11302
87.6 IPS |
|
|
Depth Estimation (I8)
|
99% |
11289
87.5 IPS |
|
|
Style Transfer (F32)
|
100% |
23547
31.0 IPS |
|
|
Style Transfer (F16)
|
100% |
34633
45.6 IPS |
|
|
Style Transfer (I8)
|
100% |
34670
45.6 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
5759
205.7 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
6796
242.7 IPS |
|
|
Image Super-Resolution (I8)
|
100% |
6796
242.7 IPS |
|
|
Text Classification (F32)
|
100% |
2741
3.94 KIPS |
|
|
Text Classification (F16)
|
100% |
4388
6.31 KIPS |
|
|
Text Classification (I8)
|
96% |
4350
6.25 KIPS |
|
|
Machine Translation (F32)
|
100% |
1635
30.1 IPS |
|
|
Machine Translation (F16)
|
100% |
1888
34.7 IPS |
|
|
Machine Translation (I8)
|
99% |
1622
29.8 IPS |
