iPad14,11
Geekbench ML Score
7225
Core ML Neural Engine Inference Score
Geekbench ML 0.6.0 for iOS AArch64
Result Information
| Upload Date | May 11 2024 11:48 AM |
| Views | 8 |
System Information
| System Information | |
|---|---|
| Operating System | iOS 17.5 |
| Model | iPad14,11 |
| Model ID | iPad14,11 |
| Motherboard | J538AP |
| CPU Information | |
|---|---|
| Name | ARM |
| Topology | 1 Processor, 8 Cores |
| Identifier | ARM |
| Base Frequency | 3.48 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 | 7.45 GB |
| Inference Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Default |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
2858
534.7 IPS |
|
|
Image Classification (F16)
|
100% |
6353
1.19 KIPS |
|
|
Image Classification (I8)
|
99% |
6697
1.25 KIPS |
|
|
Image Segmentation (F32)
|
100% |
1380
23.0 IPS |
|
|
Image Segmentation (F16)
|
100% |
1594
26.6 IPS |
|
|
Image Segmentation (I8)
|
100% |
1583
26.4 IPS |
|
|
Pose Estimation (F32)
|
100% |
21434
26.0 IPS |
|
|
Pose Estimation (F16)
|
100% |
83150
100.7 IPS |
|
|
Pose Estimation (I8)
|
100% |
83485
101.1 IPS |
|
|
Object Detection (F32)
|
100% |
2703
201.8 IPS |
|
|
Object Detection (F16)
|
100% |
4159
310.5 IPS |
|
|
Object Detection (I8)
|
97% |
2506
187.1 IPS |
|
|
Face Detection (F32)
|
100% |
8847
105.2 IPS |
|
|
Face Detection (F16)
|
97% |
10930
130.0 IPS |
|
|
Face Detection (I8)
|
96% |
10935
130.0 IPS |
|
|
Depth Estimation (F32)
|
100% |
15493
120.1 IPS |
|
|
Depth Estimation (F16)
|
100% |
44772
347.2 IPS |
|
|
Depth Estimation (I8)
|
37% |
44766
347.2 IPS |
|
|
Style Transfer (F32)
|
100% |
36678
48.2 IPS |
|
|
Style Transfer (F16)
|
100% |
130220
171.3 IPS |
|
|
Style Transfer (I8)
|
100% |
130620
171.8 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
7039
251.4 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
16333
583.3 IPS |
|
|
Image Super-Resolution (I8)
|
100% |
17695
631.9 IPS |
|
|
Text Classification (F32)
|
100% |
1151
1.65 KIPS |
|
|
Text Classification (F16)
|
100% |
762
1.10 KIPS |
|
|
Text Classification (I8)
|
96% |
761
1.09 KIPS |
|
|
Machine Translation (F32)
|
100% |
672
12.4 IPS |
|
|
Machine Translation (F16)
|
100% |
2683
49.4 IPS |
|
|
Machine Translation (I8)
|
99% |
655
12.0 IPS |
