iPhone 14
Geekbench ML Score
1928
Core ML CPU Inference Score
Geekbench ML 0.6.0 for iOS AArch64
Result Information
| Upload Date | March 16 2025 06:34 PM |
| Views | 7 |
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% |
948
177.5 IPS |
|
|
Image Classification (F16)
|
100% |
911
170.4 IPS |
|
|
Image Classification (I8)
|
99% |
915
171.1 IPS |
|
|
Image Segmentation (F32)
|
100% |
635
10.6 IPS |
|
|
Image Segmentation (F16)
|
100% |
573
9.58 IPS |
|
|
Image Segmentation (I8)
|
100% |
565
9.44 IPS |
|
|
Pose Estimation (F32)
|
100% |
5360
6.49 IPS |
|
|
Pose Estimation (F16)
|
100% |
9565
11.6 IPS |
|
|
Pose Estimation (I8)
|
100% |
9542
11.6 IPS |
|
|
Object Detection (F32)
|
100% |
1041
77.7 IPS |
|
|
Object Detection (F16)
|
100% |
1036
77.4 IPS |
|
|
Object Detection (I8)
|
97% |
1059
79.0 IPS |
|
|
Face Detection (F32)
|
100% |
1757
20.9 IPS |
|
|
Face Detection (F16)
|
100% |
1612
19.2 IPS |
|
|
Face Detection (I8)
|
99% |
1594
18.9 IPS |
|
|
Depth Estimation (F32)
|
100% |
3251
25.2 IPS |
|
|
Depth Estimation (F16)
|
99% |
3657
28.4 IPS |
|
|
Depth Estimation (I8)
|
99% |
3645
28.3 IPS |
|
|
Style Transfer (F32)
|
100% |
9934
13.1 IPS |
|
|
Style Transfer (F16)
|
100% |
11706
15.4 IPS |
|
|
Style Transfer (I8)
|
100% |
11773
15.5 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
2432
86.8 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
2570
91.8 IPS |
|
|
Image Super-Resolution (I8)
|
100% |
2558
91.4 IPS |
|
|
Text Classification (F32)
|
100% |
987
1.42 KIPS |
|
|
Text Classification (F16)
|
100% |
467
671.2 IPS |
|
|
Text Classification (I8)
|
96% |
618
888.3 IPS |
|
|
Machine Translation (F32)
|
100% |
1360
25.0 IPS |
|
|
Machine Translation (F16)
|
99% |
1768
32.5 IPS |
|
|
Machine Translation (I8)
|
99% |
1344
24.7 IPS |
