iPad14,6
Geekbench ML Score
7405
Core ML Neural Engine Inference Score
Geekbench ML 0.6.0 for iOS AArch64
Result Information
| Upload Date | July 25 2024 08:48 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 | Neural Engine |
| Device | Default |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
3272
612.4 IPS |
|
|
Image Classification (F16)
|
100% |
6381
1.19 KIPS |
|
|
Image Classification (I8)
|
99% |
6914
1.29 KIPS |
|
|
Image Segmentation (F32)
|
100% |
1448
24.2 IPS |
|
|
Image Segmentation (F16)
|
100% |
1603
26.8 IPS |
|
|
Image Segmentation (I8)
|
100% |
1596
26.6 IPS |
|
|
Pose Estimation (F32)
|
100% |
22705
27.5 IPS |
|
|
Pose Estimation (F16)
|
100% |
82882
100.4 IPS |
|
|
Pose Estimation (I8)
|
100% |
84809
102.7 IPS |
|
|
Object Detection (F32)
|
100% |
2810
209.8 IPS |
|
|
Object Detection (F16)
|
100% |
4029
300.8 IPS |
|
|
Object Detection (I8)
|
97% |
2597
193.9 IPS |
|
|
Face Detection (F32)
|
100% |
9321
110.8 IPS |
|
|
Face Detection (F16)
|
97% |
10960
130.3 IPS |
|
|
Face Detection (I8)
|
96% |
10918
129.8 IPS |
|
|
Depth Estimation (F32)
|
100% |
16122
125.0 IPS |
|
|
Depth Estimation (F16)
|
100% |
33062
256.4 IPS |
|
|
Depth Estimation (I8)
|
37% |
36475
282.9 IPS |
|
|
Style Transfer (F32)
|
100% |
39475
51.9 IPS |
|
|
Style Transfer (F16)
|
100% |
128774
169.4 IPS |
|
|
Style Transfer (I8)
|
100% |
134976
177.5 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
9383
335.1 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
18169
648.9 IPS |
|
|
Image Super-Resolution (I8)
|
100% |
18062
645.1 IPS |
|
|
Text Classification (F32)
|
100% |
1120
1.61 KIPS |
|
|
Text Classification (F16)
|
100% |
738
1.06 KIPS |
|
|
Text Classification (I8)
|
96% |
740
1.06 KIPS |
|
|
Machine Translation (F32)
|
100% |
816
15.0 IPS |
|
|
Machine Translation (F16)
|
100% |
2739
50.4 IPS |
|
|
Machine Translation (I8)
|
99% |
776
14.3 IPS |
