iPhone 14
Geekbench ML Score
1900
Core ML CPU Inference Score
Geekbench ML 0.6.0 for iOS AArch64
Result Information
| Upload Date | June 21 2025 04:19 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% |
946
177.1 IPS |
|
|
Image Classification (F16)
|
100% |
902
168.9 IPS |
|
|
Image Classification (I8)
|
99% |
904
169.2 IPS |
|
|
Image Segmentation (F32)
|
100% |
594
9.92 IPS |
|
|
Image Segmentation (F16)
|
100% |
530
8.85 IPS |
|
|
Image Segmentation (I8)
|
100% |
536
8.95 IPS |
|
|
Pose Estimation (F32)
|
100% |
5299
6.42 IPS |
|
|
Pose Estimation (F16)
|
100% |
9540
11.6 IPS |
|
|
Pose Estimation (I8)
|
100% |
9479
11.5 IPS |
|
|
Object Detection (F32)
|
100% |
1013
75.6 IPS |
|
|
Object Detection (F16)
|
100% |
1050
78.4 IPS |
|
|
Object Detection (I8)
|
97% |
1019
76.1 IPS |
|
|
Face Detection (F32)
|
100% |
1712
20.4 IPS |
|
|
Face Detection (F16)
|
100% |
1548
18.4 IPS |
|
|
Face Detection (I8)
|
99% |
1551
18.4 IPS |
|
|
Depth Estimation (F32)
|
100% |
3259
25.3 IPS |
|
|
Depth Estimation (F16)
|
99% |
3606
28.0 IPS |
|
|
Depth Estimation (I8)
|
99% |
3539
27.4 IPS |
|
|
Style Transfer (F32)
|
100% |
9649
12.7 IPS |
|
|
Style Transfer (F16)
|
100% |
11619
15.3 IPS |
|
|
Style Transfer (I8)
|
100% |
11614
15.3 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
2405
85.9 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
2570
91.8 IPS |
|
|
Image Super-Resolution (I8)
|
100% |
2577
92.0 IPS |
|
|
Text Classification (F32)
|
100% |
1010
1.45 KIPS |
|
|
Text Classification (F16)
|
100% |
483
694.5 IPS |
|
|
Text Classification (I8)
|
96% |
634
911.4 IPS |
|
|
Machine Translation (F32)
|
100% |
1355
24.9 IPS |
|
|
Machine Translation (F16)
|
99% |
1739
32.0 IPS |
|
|
Machine Translation (I8)
|
99% |
1332
24.5 IPS |
