iPad14,6
Geekbench ML Score
5220
Core ML GPU Inference Score
Geekbench ML 0.6.0 for iOS AArch64
Result Information
| Upload Date | July 25 2024 08:46 PM |
| Views | 1 |
System Information
| System Information | |
|---|---|
| Operating System | iOS 17.5.1 |
| Model | iPad14,6 |
| Model ID | iPad14,6 |
| Motherboard | J621AP |
| CPU Information | |
|---|---|
| Name | ARM |
| Topology | 1 Processor, 8 Cores |
| Identifier | ARM |
| Base Frequency | 3.47 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 4 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 | 7.31 GB |
| Inference Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Default |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
3386
633.6 IPS |
|
|
Image Classification (F16)
|
100% |
3372
630.9 IPS |
|
|
Image Classification (I8)
|
99% |
3031
567.1 IPS |
|
|
Image Segmentation (F32)
|
100% |
1447
24.2 IPS |
|
|
Image Segmentation (F16)
|
100% |
1524
25.5 IPS |
|
|
Image Segmentation (I8)
|
100% |
1531
25.6 IPS |
|
|
Pose Estimation (F32)
|
100% |
23495
28.5 IPS |
|
|
Pose Estimation (F16)
|
100% |
24993
30.3 IPS |
|
|
Pose Estimation (I8)
|
100% |
24369
29.5 IPS |
|
|
Object Detection (F32)
|
100% |
2823
210.8 IPS |
|
|
Object Detection (F16)
|
100% |
2858
213.3 IPS |
|
|
Object Detection (I8)
|
97% |
2590
193.4 IPS |
|
|
Face Detection (F32)
|
100% |
9341
111.1 IPS |
|
|
Face Detection (F16)
|
98% |
10596
126.0 IPS |
|
|
Face Detection (I8)
|
97% |
10118
120.3 IPS |
|
|
Depth Estimation (F32)
|
100% |
16450
127.6 IPS |
|
|
Depth Estimation (F16)
|
100% |
17588
136.4 IPS |
|
|
Depth Estimation (I8)
|
37% |
16248
126.0 IPS |
|
|
Style Transfer (F32)
|
100% |
41126
54.1 IPS |
|
|
Style Transfer (F16)
|
100% |
46967
61.8 IPS |
|
|
Style Transfer (I8)
|
100% |
43130
56.7 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
9473
338.3 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
10338
369.2 IPS |
|
|
Image Super-Resolution (I8)
|
100% |
7963
284.4 IPS |
|
|
Text Classification (F32)
|
100% |
1127
1.62 KIPS |
|
|
Text Classification (F16)
|
100% |
737
1.06 KIPS |
|
|
Text Classification (I8)
|
96% |
739
1.06 KIPS |
|
|
Machine Translation (F32)
|
100% |
808
14.9 IPS |
|
|
Machine Translation (F16)
|
100% |
827
15.2 IPS |
|
|
Machine Translation (I8)
|
99% |
776
14.3 IPS |
