iPad16,4
Geekbench ML Score
9398
Core ML Neural Engine Inference Score
Geekbench ML 0.6.0 for iOS AArch64
Result Information
| Upload Date | August 27 2024 08:17 AM |
| Views | 1 |
System Information
| System Information | |
|---|---|
| Operating System | iOS 17.5.1 |
| Model | iPad16,4 |
| Model ID | iPad16,4 |
| Motherboard | J718AP |
| CPU Information | |
|---|---|
| Name | ARM |
| Topology | 1 Processor, 10 Cores |
| Identifier | ARM |
| Base Frequency | 4.41 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 6 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 | 15.13 GB |
| Inference Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Default |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
4273
799.6 IPS |
|
|
Image Classification (F16)
|
100% |
8254
1.54 KIPS |
|
|
Image Classification (I8)
|
99% |
9140
1.71 KIPS |
|
|
Image Segmentation (F32)
|
100% |
2012
33.6 IPS |
|
|
Image Segmentation (F16)
|
100% |
2403
40.1 IPS |
|
|
Image Segmentation (I8)
|
100% |
2420
40.4 IPS |
|
|
Pose Estimation (F32)
|
100% |
26966
32.7 IPS |
|
|
Pose Estimation (F16)
|
100% |
99636
120.7 IPS |
|
|
Pose Estimation (I8)
|
100% |
101185
122.5 IPS |
|
|
Object Detection (F32)
|
100% |
3176
237.1 IPS |
|
|
Object Detection (F16)
|
100% |
6179
461.3 IPS |
|
|
Object Detection (I8)
|
97% |
3368
251.4 IPS |
|
|
Face Detection (F32)
|
100% |
11471
136.4 IPS |
|
|
Face Detection (F16)
|
97% |
13963
166.0 IPS |
|
|
Face Detection (I8)
|
96% |
14919
177.4 IPS |
|
|
Depth Estimation (F32)
|
100% |
19686
152.7 IPS |
|
|
Depth Estimation (F16)
|
100% |
46953
364.1 IPS |
|
|
Depth Estimation (I8)
|
37% |
46865
363.4 IPS |
|
|
Style Transfer (F32)
|
100% |
55606
73.1 IPS |
|
|
Style Transfer (F16)
|
100% |
154201
202.8 IPS |
|
|
Style Transfer (I8)
|
100% |
154154
202.8 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
9048
323.1 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
21238
758.5 IPS |
|
|
Image Super-Resolution (I8)
|
100% |
20457
730.6 IPS |
|
|
Text Classification (F32)
|
100% |
1381
1.99 KIPS |
|
|
Text Classification (F16)
|
100% |
1446
2.08 KIPS |
|
|
Text Classification (I8)
|
96% |
1075
1.55 KIPS |
|
|
Machine Translation (F32)
|
100% |
1164
21.4 IPS |
|
|
Machine Translation (F16)
|
100% |
1853
34.1 IPS |
|
|
Machine Translation (I8)
|
99% |
922
17.0 IPS |
