iPhone 15
Geekbench ML Score
1628
Core ML CPU Inference Score
Geekbench ML 0.6.0 for iOS AArch64
Result Information
| Upload Date | January 24 2024 12:14 AM |
| Views | 1 |
System Information
| System Information | |
|---|---|
| Operating System | iOS 17.3 |
| Model | iPhone 15 |
| Model ID | iPhone15,4 |
| Motherboard | D37AP |
| CPU Information | |
|---|---|
| Name | Apple A16 Bionic |
| Topology | 1 Processor, 6 Cores |
| Identifier | ARM |
| Base Frequency | 3.46 GHz |
| Cluster 1 | 2 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 | 5.54 GB |
| Inference Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Default |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
1218
227.9 IPS |
|
|
Image Classification (F16)
|
100% |
1076
201.3 IPS |
|
|
Image Classification (I8)
|
99% |
1055
197.4 IPS |
|
|
Image Segmentation (F32)
|
100% |
544
9.09 IPS |
|
|
Image Segmentation (F16)
|
100% |
502
8.38 IPS |
|
|
Image Segmentation (I8)
|
100% |
434
7.25 IPS |
|
|
Pose Estimation (F32)
|
100% |
4392
5.32 IPS |
|
|
Pose Estimation (F16)
|
100% |
8478
10.3 IPS |
|
|
Pose Estimation (I8)
|
100% |
11413
13.8 IPS |
|
|
Object Detection (F32)
|
100% |
943
70.4 IPS |
|
|
Object Detection (F16)
|
100% |
901
67.3 IPS |
|
|
Object Detection (I8)
|
97% |
906
67.6 IPS |
|
|
Face Detection (F32)
|
100% |
1813
21.6 IPS |
|
|
Face Detection (F16)
|
100% |
1276
15.2 IPS |
|
|
Face Detection (I8)
|
99% |
1254
14.9 IPS |
|
|
Depth Estimation (F32)
|
100% |
3539
27.4 IPS |
|
|
Depth Estimation (F16)
|
99% |
3973
30.8 IPS |
|
|
Depth Estimation (I8)
|
99% |
4054
31.4 IPS |
|
|
Style Transfer (F32)
|
100% |
10777
14.2 IPS |
|
|
Style Transfer (F16)
|
100% |
12949
17.0 IPS |
|
|
Style Transfer (I8)
|
100% |
13225
17.4 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
3321
118.6 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
3114
111.2 IPS |
|
|
Image Super-Resolution (I8)
|
100% |
3041
108.6 IPS |
|
|
Text Classification (F32)
|
100% |
213
305.6 IPS |
|
|
Text Classification (F16)
|
100% |
173
248.0 IPS |
|
|
Text Classification (I8)
|
96% |
166
238.5 IPS |
|
|
Machine Translation (F32)
|
100% |
903
16.6 IPS |
|
|
Machine Translation (F16)
|
99% |
952
17.5 IPS |
|
|
Machine Translation (I8)
|
99% |
841
15.5 IPS |
