iPhone 14
Geekbench ML Score
3314
Core ML CPU Inference Score
Geekbench ML 0.6.0 for iOS AArch64
Result Information
| Upload Date | July 26 2024 02:39 PM |
| Views | 1 |
System Information
| System Information | |
|---|---|
| Operating System | iOS 17.5.1 |
| 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 | 5.54 GB |
| Inference Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Default |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
1393
260.7 IPS |
|
|
Image Classification (F16)
|
100% |
1740
325.7 IPS |
|
|
Image Classification (I8)
|
99% |
1738
325.2 IPS |
|
|
Image Segmentation (F32)
|
100% |
822
13.7 IPS |
|
|
Image Segmentation (F16)
|
100% |
813
13.6 IPS |
|
|
Image Segmentation (I8)
|
100% |
814
13.6 IPS |
|
|
Pose Estimation (F32)
|
100% |
5685
6.88 IPS |
|
|
Pose Estimation (F16)
|
100% |
13359
16.2 IPS |
|
|
Pose Estimation (I8)
|
100% |
13451
16.3 IPS |
|
|
Object Detection (F32)
|
100% |
1387
103.6 IPS |
|
|
Object Detection (F16)
|
100% |
1876
140.1 IPS |
|
|
Object Detection (I8)
|
97% |
1379
102.9 IPS |
|
|
Face Detection (F32)
|
100% |
2469
29.4 IPS |
|
|
Face Detection (F16)
|
97% |
3933
46.8 IPS |
|
|
Face Detection (I8)
|
97% |
3941
46.9 IPS |
|
|
Depth Estimation (F32)
|
100% |
5009
38.8 IPS |
|
|
Depth Estimation (F16)
|
100% |
8137
63.1 IPS |
|
|
Depth Estimation (I8)
|
99% |
8156
63.3 IPS |
|
|
Style Transfer (F32)
|
100% |
16174
21.3 IPS |
|
|
Style Transfer (F16)
|
100% |
25061
33.0 IPS |
|
|
Style Transfer (I8)
|
100% |
25094
33.0 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
3816
136.3 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
4833
172.6 IPS |
|
|
Image Super-Resolution (I8)
|
100% |
4935
176.3 IPS |
|
|
Text Classification (F32)
|
100% |
2147
3.09 KIPS |
|
|
Text Classification (F16)
|
100% |
3340
4.80 KIPS |
|
|
Text Classification (I8)
|
96% |
3322
4.77 KIPS |
|
|
Machine Translation (F32)
|
100% |
1136
20.9 IPS |
|
|
Machine Translation (F16)
|
100% |
1388
25.5 IPS |
|
|
Machine Translation (I8)
|
99% |
1098
20.2 IPS |
