iPhone 14
Geekbench ML Score
1888
Core ML CPU Inference Score
Geekbench ML 0.6.0 for iOS AArch64
Result Information
| Upload Date | August 25 2024 05:09 PM |
| Views | 1 |
System Information
| System Information | |
|---|---|
| Operating System | iOS 16.3.1 |
| Model | iPhone 14 |
| Model ID | iPhone14,7 |
| Motherboard | D27AP |
| CPU Information | |
|---|---|
| Name | Apple A15 Bionic |
| Topology | 1 Processor, 6 Cores |
| Identifier | ARM |
| Base Frequency | 3.23 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 | 5.56 GB |
| Inference Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Default |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
959
179.4 IPS |
|
|
Image Classification (F16)
|
100% |
913
170.9 IPS |
|
|
Image Classification (I8)
|
99% |
909
170.0 IPS |
|
|
Image Segmentation (F32)
|
100% |
613
10.2 IPS |
|
|
Image Segmentation (F16)
|
100% |
543
9.06 IPS |
|
|
Image Segmentation (I8)
|
100% |
526
8.79 IPS |
|
|
Pose Estimation (F32)
|
100% |
5169
6.26 IPS |
|
|
Pose Estimation (F16)
|
100% |
9565
11.6 IPS |
|
|
Pose Estimation (I8)
|
100% |
9467
11.5 IPS |
|
|
Object Detection (F32)
|
100% |
1043
77.9 IPS |
|
|
Object Detection (F16)
|
100% |
1034
77.2 IPS |
|
|
Object Detection (I8)
|
97% |
1039
77.6 IPS |
|
|
Face Detection (F32)
|
100% |
1773
21.1 IPS |
|
|
Face Detection (F16)
|
100% |
1531
18.2 IPS |
|
|
Face Detection (I8)
|
99% |
1519
18.1 IPS |
|
|
Depth Estimation (F32)
|
100% |
3150
24.4 IPS |
|
|
Depth Estimation (F16)
|
99% |
3555
27.6 IPS |
|
|
Depth Estimation (I8)
|
99% |
3466
26.9 IPS |
|
|
Style Transfer (F32)
|
100% |
9480
12.5 IPS |
|
|
Style Transfer (F16)
|
100% |
11207
14.7 IPS |
|
|
Style Transfer (I8)
|
100% |
11233
14.8 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
2353
84.0 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
2565
91.6 IPS |
|
|
Image Super-Resolution (I8)
|
100% |
2575
91.9 IPS |
|
|
Text Classification (F32)
|
100% |
994
1.43 KIPS |
|
|
Text Classification (F16)
|
100% |
460
661.4 IPS |
|
|
Text Classification (I8)
|
96% |
654
940.6 IPS |
|
|
Machine Translation (F32)
|
100% |
1335
24.6 IPS |
|
|
Machine Translation (F16)
|
99% |
1687
31.1 IPS |
|
|
Machine Translation (I8)
|
99% |
1312
24.2 IPS |
