iPad14,4
Geekbench ML Score
7464
Core ML Neural Engine Inference Score
Geekbench ML 0.6.0 for iOS AArch64
Result Information
| Upload Date | January 20 2024 08:08 PM |
| Views | 1 |
System Information
| System Information | |
|---|---|
| Operating System | iOS 17.3 |
| Model | iPad14,4 |
| Model ID | iPad14,4 |
| Motherboard | J618AP |
| CPU Information | |
|---|---|
| Name | ARM |
| Topology | 1 Processor, 8 Cores |
| Identifier | ARM |
| Base Frequency | 3.46 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 | 15.34 GB |
| Inference Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Default |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
3390
634.4 IPS |
|
|
Image Classification (F16)
|
100% |
6505
1.22 KIPS |
|
|
Image Classification (I8)
|
99% |
6924
1.30 KIPS |
|
|
Image Segmentation (F32)
|
100% |
1423
23.8 IPS |
|
|
Image Segmentation (F16)
|
100% |
1598
26.7 IPS |
|
|
Image Segmentation (I8)
|
100% |
1559
26.0 IPS |
|
|
Pose Estimation (F32)
|
100% |
22795
27.6 IPS |
|
|
Pose Estimation (F16)
|
100% |
82536
99.9 IPS |
|
|
Pose Estimation (I8)
|
100% |
83847
101.5 IPS |
|
|
Object Detection (F32)
|
100% |
2804
209.3 IPS |
|
|
Object Detection (F16)
|
100% |
3736
278.9 IPS |
|
|
Object Detection (I8)
|
97% |
2529
188.8 IPS |
|
|
Face Detection (F32)
|
100% |
9398
111.7 IPS |
|
|
Face Detection (F16)
|
97% |
14327
170.4 IPS |
|
|
Face Detection (I8)
|
96% |
14213
169.0 IPS |
|
|
Depth Estimation (F32)
|
100% |
15945
123.7 IPS |
|
|
Depth Estimation (F16)
|
100% |
37018
287.1 IPS |
|
|
Depth Estimation (I8)
|
37% |
37124
287.9 IPS |
|
|
Style Transfer (F32)
|
100% |
39340
51.7 IPS |
|
|
Style Transfer (F16)
|
100% |
131252
172.7 IPS |
|
|
Style Transfer (I8)
|
100% |
133871
176.1 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
7556
269.9 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
18227
650.9 IPS |
|
|
Image Super-Resolution (I8)
|
100% |
18268
652.4 IPS |
|
|
Text Classification (F32)
|
100% |
1131
1.63 KIPS |
|
|
Text Classification (F16)
|
100% |
757
1.09 KIPS |
|
|
Text Classification (I8)
|
96% |
758
1.09 KIPS |
|
|
Machine Translation (F32)
|
100% |
792
14.6 IPS |
|
|
Machine Translation (F16)
|
100% |
2518
46.3 IPS |
|
|
Machine Translation (I8)
|
99% |
724
13.3 IPS |
