iPhone 14
Geekbench ML Score
1896
Core ML CPU Inference Score
Geekbench ML 0.6.0 for iOS AArch64
Result Information
| Upload Date | December 23 2024 05:54 PM |
| Views | 4 |
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% |
957
179.0 IPS |
|
|
Image Classification (F16)
|
100% |
909
170.0 IPS |
|
|
Image Classification (I8)
|
99% |
915
171.1 IPS |
|
|
Image Segmentation (F32)
|
100% |
624
10.4 IPS |
|
|
Image Segmentation (F16)
|
100% |
544
9.08 IPS |
|
|
Image Segmentation (I8)
|
100% |
530
8.85 IPS |
|
|
Pose Estimation (F32)
|
100% |
5304
6.42 IPS |
|
|
Pose Estimation (F16)
|
100% |
9573
11.6 IPS |
|
|
Pose Estimation (I8)
|
100% |
9525
11.5 IPS |
|
|
Object Detection (F32)
|
100% |
995
74.3 IPS |
|
|
Object Detection (F16)
|
100% |
1038
77.5 IPS |
|
|
Object Detection (I8)
|
97% |
1022
76.3 IPS |
|
|
Face Detection (F32)
|
100% |
1701
20.2 IPS |
|
|
Face Detection (F16)
|
100% |
1556
18.5 IPS |
|
|
Face Detection (I8)
|
99% |
1528
18.2 IPS |
|
|
Depth Estimation (F32)
|
100% |
3242
25.1 IPS |
|
|
Depth Estimation (F16)
|
99% |
3603
27.9 IPS |
|
|
Depth Estimation (I8)
|
99% |
3586
27.8 IPS |
|
|
Style Transfer (F32)
|
100% |
9825
12.9 IPS |
|
|
Style Transfer (F16)
|
100% |
11465
15.1 IPS |
|
|
Style Transfer (I8)
|
100% |
11377
15.0 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
2403
85.8 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
2529
90.3 IPS |
|
|
Image Super-Resolution (I8)
|
100% |
2554
91.2 IPS |
|
|
Text Classification (F32)
|
100% |
1004
1.44 KIPS |
|
|
Text Classification (F16)
|
100% |
463
665.9 IPS |
|
|
Text Classification (I8)
|
96% |
618
888.9 IPS |
|
|
Machine Translation (F32)
|
100% |
1352
24.9 IPS |
|
|
Machine Translation (F16)
|
99% |
1708
31.4 IPS |
|
|
Machine Translation (I8)
|
99% |
1325
24.4 IPS |
