iPad14,6
Geekbench ML Score
8632
Core ML Neural Engine Inference Score
Geekbench ML 0.6.0 for iOS AArch64
Result Information
| Upload Date | May 03 2024 05:13 PM |
| Views | 8 |
System Information
| System Information | |
|---|---|
| Operating System | iOS 16.1 |
| Model | iPad14,6 |
| Model ID | iPad14,6 |
| Motherboard | J621AP |
| 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 | 15.33 GB |
| Inference Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Default |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
3369
630.5 IPS |
|
|
Image Classification (F16)
|
100% |
7547
1.41 KIPS |
|
|
Image Classification (I8)
|
99% |
7536
1.41 KIPS |
|
|
Image Segmentation (F32)
|
100% |
927
15.5 IPS |
|
|
Image Segmentation (F16)
|
100% |
3859
64.4 IPS |
|
|
Image Segmentation (I8)
|
100% |
3849
64.3 IPS |
|
|
Pose Estimation (F32)
|
100% |
23691
28.7 IPS |
|
|
Pose Estimation (F16)
|
100% |
90525
109.6 IPS |
|
|
Pose Estimation (I8)
|
100% |
91452
110.7 IPS |
|
|
Object Detection (F32)
|
100% |
3005
224.3 IPS |
|
|
Object Detection (F16)
|
100% |
5613
419.0 IPS |
|
|
Object Detection (I8)
|
97% |
2959
220.9 IPS |
|
|
Face Detection (F32)
|
100% |
9600
114.2 IPS |
|
|
Face Detection (F16)
|
97% |
13280
157.9 IPS |
|
|
Face Detection (I8)
|
96% |
13286
158.0 IPS |
|
|
Depth Estimation (F32)
|
100% |
15839
122.8 IPS |
|
|
Depth Estimation (F16)
|
100% |
40611
314.9 IPS |
|
|
Depth Estimation (I8)
|
99% |
41807
324.2 IPS |
|
|
Style Transfer (F32)
|
100% |
40707
53.5 IPS |
|
|
Style Transfer (F16)
|
100% |
105580
138.9 IPS |
|
|
Style Transfer (I8)
|
100% |
103629
136.3 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
9200
328.5 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
15130
540.4 IPS |
|
|
Image Super-Resolution (I8)
|
100% |
15227
543.8 IPS |
|
|
Text Classification (F32)
|
100% |
979
1.41 KIPS |
|
|
Text Classification (F16)
|
100% |
1369
1.97 KIPS |
|
|
Text Classification (I8)
|
96% |
1394
2.00 KIPS |
|
|
Machine Translation (F32)
|
100% |
1502
27.6 IPS |
|
|
Machine Translation (F16)
|
100% |
2409
44.3 IPS |
|
|
Machine Translation (I8)
|
99% |
1615
29.7 IPS |
