iPad16,6
Geekbench ML Score
10066
Core ML Neural Engine Inference Score
Geekbench ML 0.6.0 for iOS AArch64
Result Information
| User | theotherphil |
| Upload Date | June 19 2024 09:45 PM |
| Views | 6 |
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 | 4.42 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% |
4132
773.1 IPS |
|
|
Image Classification (F16)
|
100% |
9215
1.72 KIPS |
|
|
Image Classification (I8)
|
99% |
10094
1.89 KIPS |
|
|
Image Segmentation (F32)
|
100% |
2014
33.6 IPS |
|
|
Image Segmentation (F16)
|
100% |
2385
39.8 IPS |
|
|
Image Segmentation (I8)
|
100% |
2441
40.8 IPS |
|
|
Pose Estimation (F32)
|
100% |
26598
32.2 IPS |
|
|
Pose Estimation (F16)
|
100% |
103081
124.8 IPS |
|
|
Pose Estimation (I8)
|
100% |
104795
126.9 IPS |
|
|
Object Detection (F32)
|
100% |
3340
249.4 IPS |
|
|
Object Detection (F16)
|
100% |
5830
435.3 IPS |
|
|
Object Detection (I8)
|
97% |
3405
254.2 IPS |
|
|
Face Detection (F32)
|
100% |
11087
131.8 IPS |
|
|
Face Detection (F16)
|
97% |
16040
190.7 IPS |
|
|
Face Detection (I8)
|
96% |
16825
200.0 IPS |
|
|
Depth Estimation (F32)
|
100% |
19635
152.3 IPS |
|
|
Depth Estimation (F16)
|
100% |
43499
337.3 IPS |
|
|
Depth Estimation (I8)
|
37% |
49636
384.9 IPS |
|
|
Style Transfer (F32)
|
100% |
55628
73.2 IPS |
|
|
Style Transfer (F16)
|
100% |
141358
185.9 IPS |
|
|
Style Transfer (I8)
|
100% |
146968
193.3 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
9330
333.2 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
22531
804.7 IPS |
|
|
Image Super-Resolution (I8)
|
100% |
22793
814.0 IPS |
|
|
Text Classification (F32)
|
100% |
1427
2.05 KIPS |
|
|
Text Classification (F16)
|
100% |
4495
6.46 KIPS |
|
|
Text Classification (I8)
|
96% |
1117
1.61 KIPS |
|
|
Machine Translation (F32)
|
100% |
1123
20.7 IPS |
|
|
Machine Translation (F16)
|
100% |
2352
43.3 IPS |
|
|
Machine Translation (I8)
|
99% |
1068
19.7 IPS |
