iPad16,5
Geekbench ML Score
9512
Core ML Neural Engine Inference Score
Geekbench ML 0.6.0 for iOS AArch64
Result Information
| User | Worldrock |
| Upload Date | June 17 2024 04:28 PM |
| Views | 3 |
System Information
| System Information | |
|---|---|
| Operating System | iOS 17.5.1 |
| Model | iPad16,5 |
| Model ID | iPad16,5 |
| Motherboard | J720AP |
| 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 | 15.05 GB |
| Inference Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Default |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
4198
785.6 IPS |
|
|
Image Classification (F16)
|
100% |
8198
1.53 KIPS |
|
|
Image Classification (I8)
|
99% |
8980
1.68 KIPS |
|
|
Image Segmentation (F32)
|
100% |
1949
32.5 IPS |
|
|
Image Segmentation (F16)
|
100% |
2393
40.0 IPS |
|
|
Image Segmentation (I8)
|
100% |
2296
38.3 IPS |
|
|
Pose Estimation (F32)
|
100% |
27079
32.8 IPS |
|
|
Pose Estimation (F16)
|
100% |
100015
121.1 IPS |
|
|
Pose Estimation (I8)
|
100% |
101554
123.0 IPS |
|
|
Object Detection (F32)
|
100% |
3648
272.4 IPS |
|
|
Object Detection (F16)
|
100% |
6057
452.2 IPS |
|
|
Object Detection (I8)
|
97% |
3351
250.2 IPS |
|
|
Face Detection (F32)
|
100% |
11325
134.7 IPS |
|
|
Face Detection (F16)
|
97% |
13744
163.4 IPS |
|
|
Face Detection (I8)
|
96% |
14686
174.6 IPS |
|
|
Depth Estimation (F32)
|
100% |
19782
153.4 IPS |
|
|
Depth Estimation (F16)
|
100% |
49265
382.0 IPS |
|
|
Depth Estimation (I8)
|
37% |
47689
369.8 IPS |
|
|
Style Transfer (F32)
|
100% |
55153
72.5 IPS |
|
|
Style Transfer (F16)
|
100% |
154328
203.0 IPS |
|
|
Style Transfer (I8)
|
100% |
151330
199.1 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
9539
340.7 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
21809
778.9 IPS |
|
|
Image Super-Resolution (I8)
|
100% |
21804
778.7 IPS |
|
|
Text Classification (F32)
|
100% |
1521
2.19 KIPS |
|
|
Text Classification (F16)
|
100% |
1735
2.49 KIPS |
|
|
Text Classification (I8)
|
96% |
1070
1.54 KIPS |
|
|
Machine Translation (F32)
|
100% |
1155
21.2 IPS |
|
|
Machine Translation (F16)
|
100% |
1795
33.0 IPS |
|
|
Machine Translation (I8)
|
99% |
911
16.8 IPS |
