iPhone 14
Geekbench ML Score
1850
Core ML CPU Inference Score
Geekbench ML 0.6.0 for iOS AArch64
Result Information
| Upload Date | May 17 2025 05:35 PM |
| Views | 1 |
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% |
910
170.3 IPS |
|
|
Image Classification (F16)
|
100% |
860
160.9 IPS |
|
|
Image Classification (I8)
|
99% |
843
157.8 IPS |
|
|
Image Segmentation (F32)
|
100% |
572
9.55 IPS |
|
|
Image Segmentation (F16)
|
100% |
511
8.54 IPS |
|
|
Image Segmentation (I8)
|
100% |
514
8.58 IPS |
|
|
Pose Estimation (F32)
|
100% |
5076
6.15 IPS |
|
|
Pose Estimation (F16)
|
100% |
9371
11.3 IPS |
|
|
Pose Estimation (I8)
|
100% |
9185
11.1 IPS |
|
|
Object Detection (F32)
|
100% |
1002
74.8 IPS |
|
|
Object Detection (F16)
|
100% |
1028
76.7 IPS |
|
|
Object Detection (I8)
|
97% |
1001
74.7 IPS |
|
|
Face Detection (F32)
|
100% |
1675
19.9 IPS |
|
|
Face Detection (F16)
|
100% |
1501
17.8 IPS |
|
|
Face Detection (I8)
|
99% |
1492
17.7 IPS |
|
|
Depth Estimation (F32)
|
100% |
3116
24.2 IPS |
|
|
Depth Estimation (F16)
|
99% |
3566
27.7 IPS |
|
|
Depth Estimation (I8)
|
99% |
3484
27.0 IPS |
|
|
Style Transfer (F32)
|
100% |
9463
12.4 IPS |
|
|
Style Transfer (F16)
|
100% |
11206
14.7 IPS |
|
|
Style Transfer (I8)
|
100% |
11389
15.0 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
2358
84.2 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
2563
91.5 IPS |
|
|
Image Super-Resolution (I8)
|
100% |
2562
91.5 IPS |
|
|
Text Classification (F32)
|
100% |
990
1.42 KIPS |
|
|
Text Classification (F16)
|
100% |
465
668.0 IPS |
|
|
Text Classification (I8)
|
96% |
614
882.2 IPS |
|
|
Machine Translation (F32)
|
100% |
1342
24.7 IPS |
|
|
Machine Translation (F16)
|
99% |
1712
31.5 IPS |
|
|
Machine Translation (I8)
|
99% |
1317
24.2 IPS |
