iPad14,10
Geekbench ML Score
8089
Core ML Neural Engine Inference Score
Geekbench ML 0.6.0 for iOS AArch64
Result Information
| Upload Date | July 25 2024 11:15 PM |
| Views | 2 |
System Information
| System Information | |
|---|---|
| Operating System | iOS 18.0 |
| Model | iPad14,10 |
| Model ID | iPad14,10 |
| Motherboard | J537AP |
| 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% |
2893
541.4 IPS |
|
|
Image Classification (F16)
|
100% |
6826
1.28 KIPS |
|
|
Image Classification (I8)
|
99% |
7343
1.37 KIPS |
|
|
Image Segmentation (F32)
|
100% |
1326
22.2 IPS |
|
|
Image Segmentation (F16)
|
100% |
1589
26.5 IPS |
|
|
Image Segmentation (I8)
|
100% |
1587
26.5 IPS |
|
|
Pose Estimation (F32)
|
100% |
21243
25.7 IPS |
|
|
Pose Estimation (F16)
|
100% |
86702
105.0 IPS |
|
|
Pose Estimation (I8)
|
100% |
88773
107.5 IPS |
|
|
Object Detection (F32)
|
100% |
2687
200.6 IPS |
|
|
Object Detection (F16)
|
100% |
4073
304.1 IPS |
|
|
Object Detection (I8)
|
97% |
2477
184.9 IPS |
|
|
Face Detection (F32)
|
100% |
8528
101.4 IPS |
|
|
Face Detection (F16)
|
97% |
12467
148.2 IPS |
|
|
Face Detection (I8)
|
96% |
12486
148.5 IPS |
|
|
Depth Estimation (F32)
|
100% |
15387
119.3 IPS |
|
|
Depth Estimation (F16)
|
100% |
34627
268.5 IPS |
|
|
Depth Estimation (I8)
|
37% |
35430
274.8 IPS |
|
|
Style Transfer (F32)
|
100% |
37432
49.2 IPS |
|
|
Style Transfer (F16)
|
100% |
124813
164.2 IPS |
|
|
Style Transfer (I8)
|
100% |
125191
164.7 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
7550
269.6 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
18650
666.1 IPS |
|
|
Image Super-Resolution (I8)
|
100% |
17029
608.2 IPS |
|
|
Text Classification (F32)
|
100% |
2084
3.00 KIPS |
|
|
Text Classification (F16)
|
100% |
3336
4.79 KIPS |
|
|
Text Classification (I8)
|
96% |
3367
4.84 KIPS |
|
|
Machine Translation (F32)
|
100% |
759
14.0 IPS |
|
|
Machine Translation (F16)
|
100% |
2517
46.3 IPS |
|
|
Machine Translation (I8)
|
99% |
511
9.40 IPS |
