iPad14,4
Geekbench ML Score
7421
Core ML Neural Engine Inference Score
Geekbench ML 0.6.0 for iOS AArch64
Result Information
| Upload Date | July 15 2024 03:24 PM |
| Views | 1 |
System Information
| System Information | |
|---|---|
| Operating System | iOS 17.5.1 |
| Model | iPad14,4 |
| Model ID | iPad14,4 |
| Motherboard | J618AP |
| CPU Information | |
|---|---|
| Name | ARM |
| Topology | 1 Processor, 8 Cores |
| Identifier | ARM |
| Base Frequency | 3.49 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 | 7.33 GB |
| Inference Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Default |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
3341
625.2 IPS |
|
|
Image Classification (F16)
|
100% |
6467
1.21 KIPS |
|
|
Image Classification (I8)
|
99% |
6799
1.27 KIPS |
|
|
Image Segmentation (F32)
|
100% |
1454
24.3 IPS |
|
|
Image Segmentation (F16)
|
100% |
1604
26.8 IPS |
|
|
Image Segmentation (I8)
|
100% |
1592
26.6 IPS |
|
|
Pose Estimation (F32)
|
100% |
22591
27.4 IPS |
|
|
Pose Estimation (F16)
|
100% |
81565
98.8 IPS |
|
|
Pose Estimation (I8)
|
100% |
84516
102.3 IPS |
|
|
Object Detection (F32)
|
100% |
2817
210.3 IPS |
|
|
Object Detection (F16)
|
100% |
4243
316.8 IPS |
|
|
Object Detection (I8)
|
97% |
2607
194.7 IPS |
|
|
Face Detection (F32)
|
100% |
9257
110.1 IPS |
|
|
Face Detection (F16)
|
97% |
10678
127.0 IPS |
|
|
Face Detection (I8)
|
96% |
10651
126.6 IPS |
|
|
Depth Estimation (F32)
|
100% |
16130
125.1 IPS |
|
|
Depth Estimation (F16)
|
100% |
35536
275.6 IPS |
|
|
Depth Estimation (I8)
|
37% |
36746
285.0 IPS |
|
|
Style Transfer (F32)
|
100% |
40239
52.9 IPS |
|
|
Style Transfer (F16)
|
100% |
134850
177.4 IPS |
|
|
Style Transfer (I8)
|
100% |
133517
175.6 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
9497
339.2 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
18290
653.2 IPS |
|
|
Image Super-Resolution (I8)
|
100% |
18566
663.0 IPS |
|
|
Text Classification (F32)
|
100% |
1101
1.58 KIPS |
|
|
Text Classification (F16)
|
100% |
742
1.07 KIPS |
|
|
Text Classification (I8)
|
96% |
744
1.07 KIPS |
|
|
Machine Translation (F32)
|
100% |
794
14.6 IPS |
|
|
Machine Translation (F16)
|
100% |
2644
48.7 IPS |
|
|
Machine Translation (I8)
|
99% |
743
13.7 IPS |
