iPhone 14
Geekbench ML Score
1834
Core ML CPU Inference Score
Geekbench ML 0.6.0 for iOS AArch64
Result Information
| Upload Date | June 24 2025 04:17 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% |
843
157.7 IPS |
|
|
Image Classification (F16)
|
100% |
860
160.9 IPS |
|
|
Image Classification (I8)
|
99% |
849
158.9 IPS |
|
|
Image Segmentation (F32)
|
100% |
572
9.56 IPS |
|
|
Image Segmentation (F16)
|
100% |
511
8.54 IPS |
|
|
Image Segmentation (I8)
|
100% |
509
8.50 IPS |
|
|
Pose Estimation (F32)
|
100% |
5200
6.30 IPS |
|
|
Pose Estimation (F16)
|
100% |
9547
11.6 IPS |
|
|
Pose Estimation (I8)
|
100% |
9090
11.0 IPS |
|
|
Object Detection (F32)
|
100% |
1015
75.8 IPS |
|
|
Object Detection (F16)
|
100% |
1012
75.5 IPS |
|
|
Object Detection (I8)
|
97% |
982
73.3 IPS |
|
|
Face Detection (F32)
|
100% |
1678
20.0 IPS |
|
|
Face Detection (F16)
|
100% |
1486
17.7 IPS |
|
|
Face Detection (I8)
|
99% |
1490
17.7 IPS |
|
|
Depth Estimation (F32)
|
100% |
3135
24.3 IPS |
|
|
Depth Estimation (F16)
|
99% |
3527
27.4 IPS |
|
|
Depth Estimation (I8)
|
99% |
3430
26.6 IPS |
|
|
Style Transfer (F32)
|
100% |
9398
12.4 IPS |
|
|
Style Transfer (F16)
|
100% |
11078
14.6 IPS |
|
|
Style Transfer (I8)
|
100% |
11068
14.6 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
2322
82.9 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
2552
91.2 IPS |
|
|
Image Super-Resolution (I8)
|
100% |
2493
89.0 IPS |
|
|
Text Classification (F32)
|
100% |
986
1.42 KIPS |
|
|
Text Classification (F16)
|
100% |
467
671.2 IPS |
|
|
Text Classification (I8)
|
96% |
615
883.6 IPS |
|
|
Machine Translation (F32)
|
100% |
1318
24.2 IPS |
|
|
Machine Translation (F16)
|
99% |
1668
30.7 IPS |
|
|
Machine Translation (I8)
|
99% |
1295
23.8 IPS |
