iPad14,6
Geekbench ML Score
7455
Core ML Neural Engine Inference Score
Geekbench ML 0.6.0 for iOS AArch64
Result Information
| Upload Date | January 07 2024 07:02 PM |
| Views | 1 |
System Information
| System Information | |
|---|---|
| Operating System | iOS 17.3 |
| Model | iPad14,6 |
| Model ID | iPad14,6 |
| Motherboard | J621AP |
| CPU Information | |
|---|---|
| Name | ARM |
| Topology | 1 Processor, 8 Cores |
| Identifier | ARM |
| Base Frequency | 3.19 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 | 15.33 GB |
| Inference Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Default |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
3393
635.0 IPS |
|
|
Image Classification (F16)
|
100% |
6850
1.28 KIPS |
|
|
Image Classification (I8)
|
99% |
7103
1.33 KIPS |
|
|
Image Segmentation (F32)
|
100% |
1330
22.2 IPS |
|
|
Image Segmentation (F16)
|
100% |
1490
24.9 IPS |
|
|
Image Segmentation (I8)
|
100% |
1509
25.2 IPS |
|
|
Pose Estimation (F32)
|
100% |
22757
27.6 IPS |
|
|
Pose Estimation (F16)
|
100% |
81022
98.1 IPS |
|
|
Pose Estimation (I8)
|
100% |
85596
103.7 IPS |
|
|
Object Detection (F32)
|
100% |
2525
188.5 IPS |
|
|
Object Detection (F16)
|
100% |
4106
306.5 IPS |
|
|
Object Detection (I8)
|
97% |
2481
185.2 IPS |
|
|
Face Detection (F32)
|
100% |
9119
108.4 IPS |
|
|
Face Detection (F16)
|
97% |
12279
146.0 IPS |
|
|
Face Detection (I8)
|
96% |
14025
166.8 IPS |
|
|
Depth Estimation (F32)
|
100% |
16220
125.8 IPS |
|
|
Depth Estimation (F16)
|
100% |
47532
368.6 IPS |
|
|
Depth Estimation (I8)
|
37% |
40786
316.3 IPS |
|
|
Style Transfer (F32)
|
100% |
39612
52.1 IPS |
|
|
Style Transfer (F16)
|
100% |
133492
175.6 IPS |
|
|
Style Transfer (I8)
|
100% |
133432
175.5 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
8130
290.3 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
16804
600.1 IPS |
|
|
Image Super-Resolution (I8)
|
100% |
19369
691.7 IPS |
|
|
Text Classification (F32)
|
100% |
1116
1.60 KIPS |
|
|
Text Classification (F16)
|
100% |
717
1.03 KIPS |
|
|
Text Classification (I8)
|
96% |
727
1.04 KIPS |
|
|
Machine Translation (F32)
|
100% |
769
14.2 IPS |
|
|
Machine Translation (F16)
|
100% |
2546
46.8 IPS |
|
|
Machine Translation (I8)
|
99% |
709
13.0 IPS |
