iPhone 14
Geekbench ML Score
1859
Core ML CPU Inference Score
Geekbench ML 0.6.0 for iOS AArch64
Result Information
| Upload Date | June 19 2025 09:11 PM |
| Views | 5 |
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% |
943
176.5 IPS |
|
|
Image Classification (F16)
|
100% |
899
168.3 IPS |
|
|
Image Classification (I8)
|
99% |
907
169.8 IPS |
|
|
Image Segmentation (F32)
|
100% |
596
9.96 IPS |
|
|
Image Segmentation (F16)
|
100% |
517
8.64 IPS |
|
|
Image Segmentation (I8)
|
100% |
525
8.76 IPS |
|
|
Pose Estimation (F32)
|
100% |
5172
6.26 IPS |
|
|
Pose Estimation (F16)
|
100% |
9466
11.5 IPS |
|
|
Pose Estimation (I8)
|
100% |
9378
11.4 IPS |
|
|
Object Detection (F32)
|
100% |
985
73.5 IPS |
|
|
Object Detection (F16)
|
100% |
1021
76.2 IPS |
|
|
Object Detection (I8)
|
97% |
1021
76.2 IPS |
|
|
Face Detection (F32)
|
100% |
1684
20.0 IPS |
|
|
Face Detection (F16)
|
100% |
1495
17.8 IPS |
|
|
Face Detection (I8)
|
99% |
1482
17.6 IPS |
|
|
Depth Estimation (F32)
|
100% |
3081
23.9 IPS |
|
|
Depth Estimation (F16)
|
99% |
3504
27.2 IPS |
|
|
Depth Estimation (I8)
|
99% |
3443
26.7 IPS |
|
|
Style Transfer (F32)
|
100% |
9333
12.3 IPS |
|
|
Style Transfer (F16)
|
100% |
11128
14.6 IPS |
|
|
Style Transfer (I8)
|
100% |
11000
14.5 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
2345
83.8 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
2544
90.9 IPS |
|
|
Image Super-Resolution (I8)
|
100% |
2556
91.3 IPS |
|
|
Text Classification (F32)
|
100% |
994
1.43 KIPS |
|
|
Text Classification (F16)
|
100% |
479
688.7 IPS |
|
|
Text Classification (I8)
|
96% |
642
923.2 IPS |
|
|
Machine Translation (F32)
|
100% |
1302
24.0 IPS |
|
|
Machine Translation (F16)
|
99% |
1663
30.6 IPS |
|
|
Machine Translation (I8)
|
99% |
1280
23.5 IPS |
