iPhone 14
Geekbench ML Score
1870
Core ML CPU Inference Score
Geekbench ML 0.6.0 for iOS AArch64
Result Information
| Upload Date | February 04 2025 07:00 PM |
| Views | 4 |
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% |
941
176.1 IPS |
|
|
Image Classification (F16)
|
100% |
898
168.0 IPS |
|
|
Image Classification (I8)
|
99% |
898
168.0 IPS |
|
|
Image Segmentation (F32)
|
100% |
599
10.0 IPS |
|
|
Image Segmentation (F16)
|
100% |
540
9.02 IPS |
|
|
Image Segmentation (I8)
|
100% |
513
8.58 IPS |
|
|
Pose Estimation (F32)
|
100% |
5116
6.19 IPS |
|
|
Pose Estimation (F16)
|
100% |
9370
11.3 IPS |
|
|
Pose Estimation (I8)
|
100% |
9449
11.4 IPS |
|
|
Object Detection (F32)
|
100% |
1008
75.2 IPS |
|
|
Object Detection (F16)
|
100% |
1023
76.4 IPS |
|
|
Object Detection (I8)
|
97% |
1019
76.1 IPS |
|
|
Face Detection (F32)
|
100% |
1681
20.0 IPS |
|
|
Face Detection (F16)
|
100% |
1527
18.2 IPS |
|
|
Face Detection (I8)
|
99% |
1501
17.8 IPS |
|
|
Depth Estimation (F32)
|
100% |
3157
24.5 IPS |
|
|
Depth Estimation (F16)
|
99% |
3553
27.6 IPS |
|
|
Depth Estimation (I8)
|
99% |
3485
27.0 IPS |
|
|
Style Transfer (F32)
|
100% |
9469
12.5 IPS |
|
|
Style Transfer (F16)
|
100% |
11339
14.9 IPS |
|
|
Style Transfer (I8)
|
100% |
11346
14.9 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
2372
84.7 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
2555
91.2 IPS |
|
|
Image Super-Resolution (I8)
|
100% |
2549
91.0 IPS |
|
|
Text Classification (F32)
|
100% |
995
1.43 KIPS |
|
|
Text Classification (F16)
|
100% |
481
691.0 IPS |
|
|
Text Classification (I8)
|
96% |
610
877.4 IPS |
|
|
Machine Translation (F32)
|
100% |
1325
24.4 IPS |
|
|
Machine Translation (F16)
|
99% |
1692
31.1 IPS |
|
|
Machine Translation (I8)
|
99% |
1304
24.0 IPS |
