iPad16,6
Geekbench ML Score
9878
Core ML Neural Engine Inference Score
Geekbench ML 0.6.0 for iOS AArch64
Result Information
| Upload Date | July 18 2024 09:09 PM |
| Views | 1 |
System Information
| System Information | |
|---|---|
| Operating System | iOS 18.0 |
| Model | iPad16,6 |
| Model ID | iPad16,6 |
| Motherboard | J721AP |
| CPU Information | |
|---|---|
| Name | ARM |
| Topology | 1 Processor, 10 Cores |
| Identifier | ARM |
| Base Frequency | 4.40 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 | 15.07 GB |
| Inference Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Default |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
3966
742.2 IPS |
|
|
Image Classification (F16)
|
100% |
9344
1.75 KIPS |
|
|
Image Classification (I8)
|
99% |
10521
1.97 KIPS |
|
|
Image Segmentation (F32)
|
100% |
1998
33.4 IPS |
|
|
Image Segmentation (F16)
|
100% |
2448
40.9 IPS |
|
|
Image Segmentation (I8)
|
100% |
2386
39.9 IPS |
|
|
Pose Estimation (F32)
|
100% |
26575
32.2 IPS |
|
|
Pose Estimation (F16)
|
100% |
102471
124.1 IPS |
|
|
Pose Estimation (I8)
|
100% |
105872
128.2 IPS |
|
|
Object Detection (F32)
|
100% |
3238
241.8 IPS |
|
|
Object Detection (F16)
|
100% |
6150
459.1 IPS |
|
|
Object Detection (I8)
|
97% |
3342
249.5 IPS |
|
|
Face Detection (F32)
|
100% |
11201
133.2 IPS |
|
|
Face Detection (F16)
|
97% |
16119
191.7 IPS |
|
|
Face Detection (I8)
|
96% |
15522
184.6 IPS |
|
|
Depth Estimation (F32)
|
100% |
19510
151.3 IPS |
|
|
Depth Estimation (F16)
|
100% |
49169
381.3 IPS |
|
|
Depth Estimation (I8)
|
37% |
45717
354.5 IPS |
|
|
Style Transfer (F32)
|
100% |
53851
70.8 IPS |
|
|
Style Transfer (F16)
|
100% |
146493
192.7 IPS |
|
|
Style Transfer (I8)
|
100% |
146967
193.3 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
8018
286.3 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
22993
821.1 IPS |
|
|
Image Super-Resolution (I8)
|
100% |
22557
805.6 IPS |
|
|
Text Classification (F32)
|
100% |
1364
1.96 KIPS |
|
|
Text Classification (F16)
|
100% |
4694
6.75 KIPS |
|
|
Text Classification (I8)
|
96% |
904
1.30 KIPS |
|
|
Machine Translation (F32)
|
100% |
1059
19.5 IPS |
|
|
Machine Translation (F16)
|
100% |
2272
41.8 IPS |
|
|
Machine Translation (I8)
|
99% |
961
17.7 IPS |
