iPhone 14
Geekbench ML Score
1793
Core ML CPU Inference Score
Geekbench ML 0.6.0 for iOS AArch64
Result Information
| Upload Date | July 03 2025 06:33 PM |
| Views | 3 |
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% |
902
168.7 IPS |
|
|
Image Classification (F16)
|
100% |
850
159.1 IPS |
|
|
Image Classification (I8)
|
99% |
834
156.1 IPS |
|
|
Image Segmentation (F32)
|
100% |
564
9.42 IPS |
|
|
Image Segmentation (F16)
|
100% |
497
8.30 IPS |
|
|
Image Segmentation (I8)
|
100% |
492
8.22 IPS |
|
|
Pose Estimation (F32)
|
100% |
5007
6.06 IPS |
|
|
Pose Estimation (F16)
|
100% |
9471
11.5 IPS |
|
|
Pose Estimation (I8)
|
100% |
9079
11.0 IPS |
|
|
Object Detection (F32)
|
100% |
959
71.6 IPS |
|
|
Object Detection (F16)
|
100% |
989
73.9 IPS |
|
|
Object Detection (I8)
|
97% |
964
72.0 IPS |
|
|
Face Detection (F32)
|
100% |
1628
19.4 IPS |
|
|
Face Detection (F16)
|
100% |
1449
17.2 IPS |
|
|
Face Detection (I8)
|
99% |
1420
16.9 IPS |
|
|
Depth Estimation (F32)
|
100% |
3038
23.6 IPS |
|
|
Depth Estimation (F16)
|
99% |
3384
26.2 IPS |
|
|
Depth Estimation (I8)
|
99% |
3392
26.3 IPS |
|
|
Style Transfer (F32)
|
100% |
9308
12.2 IPS |
|
|
Style Transfer (F16)
|
100% |
10612
14.0 IPS |
|
|
Style Transfer (I8)
|
100% |
10623
14.0 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
2275
81.3 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
2485
88.7 IPS |
|
|
Image Super-Resolution (I8)
|
100% |
2439
87.1 IPS |
|
|
Text Classification (F32)
|
100% |
979
1.41 KIPS |
|
|
Text Classification (F16)
|
100% |
454
653.2 IPS |
|
|
Text Classification (I8)
|
96% |
594
854.0 IPS |
|
|
Machine Translation (F32)
|
100% |
1279
23.5 IPS |
|
|
Machine Translation (F16)
|
99% |
1622
29.9 IPS |
|
|
Machine Translation (I8)
|
99% |
1262
23.2 IPS |
