iPhone 14
Geekbench ML Score
3795
Core ML CPU Inference Score
Geekbench ML 0.6.0 for iOS AArch64
Result Information
| Upload Date | October 05 2025 12:22 PM |
| Views | 2 |
System Information
| System Information | |
|---|---|
| Operating System | iOS 18.7 |
| 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 | 5.58 GB |
| Inference Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Default |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
1308
244.8 IPS |
|
|
Image Classification (F16)
|
100% |
2340
438.0 IPS |
|
|
Image Classification (I8)
|
99% |
2346
439.0 IPS |
|
|
Image Segmentation (F32)
|
100% |
908
15.2 IPS |
|
|
Image Segmentation (F16)
|
100% |
1212
20.2 IPS |
|
|
Image Segmentation (I8)
|
100% |
1212
20.2 IPS |
|
|
Pose Estimation (F32)
|
100% |
6219
7.53 IPS |
|
|
Pose Estimation (F16)
|
100% |
14302
17.3 IPS |
|
|
Pose Estimation (I8)
|
100% |
14323
17.3 IPS |
|
|
Object Detection (F32)
|
100% |
1367
102.1 IPS |
|
|
Object Detection (F16)
|
100% |
2272
169.6 IPS |
|
|
Object Detection (I8)
|
97% |
1369
102.2 IPS |
|
|
Face Detection (F32)
|
100% |
2726
32.4 IPS |
|
|
Face Detection (F16)
|
97% |
5345
63.6 IPS |
|
|
Face Detection (I8)
|
97% |
5355
63.7 IPS |
|
|
Depth Estimation (F32)
|
100% |
5251
40.7 IPS |
|
|
Depth Estimation (F16)
|
100% |
10587
82.1 IPS |
|
|
Depth Estimation (I8)
|
99% |
10586
82.1 IPS |
|
|
Style Transfer (F32)
|
100% |
17416
22.9 IPS |
|
|
Style Transfer (F16)
|
100% |
27729
36.5 IPS |
|
|
Style Transfer (I8)
|
100% |
27742
36.5 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
4012
143.3 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
4987
178.1 IPS |
|
|
Image Super-Resolution (I8)
|
100% |
5051
180.4 IPS |
|
|
Text Classification (F32)
|
100% |
2276
3.27 KIPS |
|
|
Text Classification (F16)
|
100% |
3885
5.58 KIPS |
|
|
Text Classification (I8)
|
96% |
3876
5.57 KIPS |
|
|
Machine Translation (F32)
|
100% |
1250
23.0 IPS |
|
|
Machine Translation (F16)
|
100% |
1433
26.4 IPS |
|
|
Machine Translation (I8)
|
99% |
1206
22.2 IPS |
