iPad16,6
Geekbench ML Score
10132
Core ML Neural Engine Inference Score
Geekbench ML 0.6.0 for iOS AArch64
Result Information
| User | theotherphil |
| Upload Date | June 16 2024 07:34 PM |
| Views | 10 |
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% |
4138
774.3 IPS |
|
|
Image Classification (F16)
|
100% |
9203
1.72 KIPS |
|
|
Image Classification (I8)
|
99% |
10270
1.92 KIPS |
|
|
Image Segmentation (F32)
|
100% |
1997
33.4 IPS |
|
|
Image Segmentation (F16)
|
100% |
2461
41.1 IPS |
|
|
Image Segmentation (I8)
|
100% |
2447
40.9 IPS |
|
|
Pose Estimation (F32)
|
100% |
26600
32.2 IPS |
|
|
Pose Estimation (F16)
|
100% |
102811
124.5 IPS |
|
|
Pose Estimation (I8)
|
100% |
105787
128.1 IPS |
|
|
Object Detection (F32)
|
100% |
3173
236.9 IPS |
|
|
Object Detection (F16)
|
100% |
6345
473.7 IPS |
|
|
Object Detection (I8)
|
97% |
3380
252.3 IPS |
|
|
Face Detection (F32)
|
100% |
11141
132.5 IPS |
|
|
Face Detection (F16)
|
97% |
16042
190.7 IPS |
|
|
Face Detection (I8)
|
96% |
15843
188.4 IPS |
|
|
Depth Estimation (F32)
|
100% |
19594
151.9 IPS |
|
|
Depth Estimation (F16)
|
100% |
46622
361.6 IPS |
|
|
Depth Estimation (I8)
|
37% |
55303
428.9 IPS |
|
|
Style Transfer (F32)
|
100% |
55843
73.5 IPS |
|
|
Style Transfer (F16)
|
100% |
146674
192.9 IPS |
|
|
Style Transfer (I8)
|
100% |
147504
194.0 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
9244
330.1 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
23437
837.0 IPS |
|
|
Image Super-Resolution (I8)
|
100% |
23247
830.2 IPS |
|
|
Text Classification (F32)
|
100% |
1426
2.05 KIPS |
|
|
Text Classification (F16)
|
100% |
4430
6.37 KIPS |
|
|
Text Classification (I8)
|
96% |
1105
1.59 KIPS |
|
|
Machine Translation (F32)
|
100% |
1101
20.3 IPS |
|
|
Machine Translation (F16)
|
100% |
2315
42.6 IPS |
|
|
Machine Translation (I8)
|
99% |
1036
19.1 IPS |
