iPad16,4
Geekbench ML Score
4666
Core ML CPU Inference Score
Geekbench ML 0.6.0 for iOS AArch64
Result Information
| Upload Date | August 17 2024 04:58 AM |
| Views | 1 |
System Information
| System Information | |
|---|---|
| Operating System | iOS 17.6.1 |
| Model | iPad16,4 |
| Model ID | iPad16,4 |
| Motherboard | J718AP |
| CPU Information | |
|---|---|
| Name | ARM |
| Topology | 1 Processor, 10 Cores |
| Identifier | ARM |
| Base Frequency | 4.41 GHz |
| Cluster 1 | 4 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 | 15.13 GB |
| Inference Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Default |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
1857
347.5 IPS |
|
|
Image Classification (F16)
|
100% |
2491
466.2 IPS |
|
|
Image Classification (I8)
|
99% |
2509
469.6 IPS |
|
|
Image Segmentation (F32)
|
100% |
1188
19.8 IPS |
|
|
Image Segmentation (F16)
|
100% |
1157
19.3 IPS |
|
|
Image Segmentation (I8)
|
100% |
1152
19.2 IPS |
|
|
Pose Estimation (F32)
|
100% |
9515
11.5 IPS |
|
|
Pose Estimation (F16)
|
100% |
17965
21.8 IPS |
|
|
Pose Estimation (I8)
|
100% |
17929
21.7 IPS |
|
|
Object Detection (F32)
|
100% |
1892
141.2 IPS |
|
|
Object Detection (F16)
|
100% |
2591
193.4 IPS |
|
|
Object Detection (I8)
|
97% |
1887
140.9 IPS |
|
|
Face Detection (F32)
|
100% |
3493
41.5 IPS |
|
|
Face Detection (F16)
|
97% |
5550
66.0 IPS |
|
|
Face Detection (I8)
|
97% |
5540
65.9 IPS |
|
|
Depth Estimation (F32)
|
100% |
7536
58.4 IPS |
|
|
Depth Estimation (F16)
|
100% |
11025
85.5 IPS |
|
|
Depth Estimation (I8)
|
99% |
11064
85.8 IPS |
|
|
Style Transfer (F32)
|
100% |
23468
30.9 IPS |
|
|
Style Transfer (F16)
|
100% |
34461
45.3 IPS |
|
|
Style Transfer (I8)
|
100% |
34490
45.4 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
5943
212.2 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
6941
247.9 IPS |
|
|
Image Super-Resolution (I8)
|
100% |
6947
248.1 IPS |
|
|
Text Classification (F32)
|
100% |
2796
4.02 KIPS |
|
|
Text Classification (F16)
|
100% |
4607
6.62 KIPS |
|
|
Text Classification (I8)
|
96% |
4619
6.64 KIPS |
|
|
Machine Translation (F32)
|
100% |
1612
29.7 IPS |
|
|
Machine Translation (F16)
|
100% |
1851
34.1 IPS |
|
|
Machine Translation (I8)
|
99% |
1612
29.7 IPS |
