iPhone 14
Geekbench ML Score
1843
Core ML CPU Inference Score
Geekbench ML 0.6.0 for iOS AArch64
Result Information
| Upload Date | April 19 2025 09:01 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% |
950
177.8 IPS |
|
|
Image Classification (F16)
|
100% |
918
171.8 IPS |
|
|
Image Classification (I8)
|
99% |
918
171.8 IPS |
|
|
Image Segmentation (F32)
|
100% |
622
10.4 IPS |
|
|
Image Segmentation (F16)
|
100% |
560
9.35 IPS |
|
|
Image Segmentation (I8)
|
100% |
555
9.27 IPS |
|
|
Pose Estimation (F32)
|
100% |
5354
6.48 IPS |
|
|
Pose Estimation (F16)
|
100% |
9529
11.5 IPS |
|
|
Pose Estimation (I8)
|
100% |
9303
11.3 IPS |
|
|
Object Detection (F32)
|
100% |
924
69.0 IPS |
|
|
Object Detection (F16)
|
100% |
980
73.1 IPS |
|
|
Object Detection (I8)
|
97% |
1020
76.1 IPS |
|
|
Face Detection (F32)
|
100% |
1670
19.9 IPS |
|
|
Face Detection (F16)
|
100% |
1446
17.2 IPS |
|
|
Face Detection (I8)
|
99% |
1517
18.0 IPS |
|
|
Depth Estimation (F32)
|
100% |
2870
22.3 IPS |
|
|
Depth Estimation (F16)
|
99% |
3386
26.3 IPS |
|
|
Depth Estimation (I8)
|
99% |
3219
25.0 IPS |
|
|
Style Transfer (F32)
|
100% |
8848
11.6 IPS |
|
|
Style Transfer (F16)
|
100% |
10589
13.9 IPS |
|
|
Style Transfer (I8)
|
100% |
11076
14.6 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
2319
82.8 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
2570
91.8 IPS |
|
|
Image Super-Resolution (I8)
|
100% |
2508
89.6 IPS |
|
|
Text Classification (F32)
|
100% |
978
1.40 KIPS |
|
|
Text Classification (F16)
|
100% |
455
654.0 IPS |
|
|
Text Classification (I8)
|
96% |
600
861.6 IPS |
|
|
Machine Translation (F32)
|
100% |
1322
24.3 IPS |
|
|
Machine Translation (F16)
|
99% |
1704
31.4 IPS |
|
|
Machine Translation (I8)
|
99% |
1294
23.8 IPS |
