iPhone 14
Geekbench ML Score
1859
Core ML CPU Inference Score
Geekbench ML 0.6.0 for iOS AArch64
Result Information
| Upload Date | July 17 2024 05:10 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% |
945
176.8 IPS |
|
|
Image Classification (F16)
|
100% |
916
171.5 IPS |
|
|
Image Classification (I8)
|
99% |
904
169.1 IPS |
|
|
Image Segmentation (F32)
|
100% |
610
10.2 IPS |
|
|
Image Segmentation (F16)
|
100% |
540
9.02 IPS |
|
|
Image Segmentation (I8)
|
100% |
528
8.81 IPS |
|
|
Pose Estimation (F32)
|
100% |
5165
6.25 IPS |
|
|
Pose Estimation (F16)
|
100% |
9250
11.2 IPS |
|
|
Pose Estimation (I8)
|
100% |
9388
11.4 IPS |
|
|
Object Detection (F32)
|
100% |
999
74.6 IPS |
|
|
Object Detection (F16)
|
100% |
1028
76.7 IPS |
|
|
Object Detection (I8)
|
97% |
1028
76.7 IPS |
|
|
Face Detection (F32)
|
100% |
1700
20.2 IPS |
|
|
Face Detection (F16)
|
100% |
1487
17.7 IPS |
|
|
Face Detection (I8)
|
99% |
1486
17.7 IPS |
|
|
Depth Estimation (F32)
|
100% |
3090
24.0 IPS |
|
|
Depth Estimation (F16)
|
99% |
3513
27.2 IPS |
|
|
Depth Estimation (I8)
|
99% |
3511
27.2 IPS |
|
|
Style Transfer (F32)
|
100% |
9302
12.2 IPS |
|
|
Style Transfer (F16)
|
100% |
11157
14.7 IPS |
|
|
Style Transfer (I8)
|
100% |
11105
14.6 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
2306
82.3 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
2541
90.8 IPS |
|
|
Image Super-Resolution (I8)
|
100% |
2496
89.2 IPS |
|
|
Text Classification (F32)
|
100% |
986
1.42 KIPS |
|
|
Text Classification (F16)
|
100% |
463
665.2 IPS |
|
|
Text Classification (I8)
|
96% |
608
873.1 IPS |
|
|
Machine Translation (F32)
|
100% |
1311
24.1 IPS |
|
|
Machine Translation (F16)
|
99% |
1666
30.7 IPS |
|
|
Machine Translation (I8)
|
99% |
1276
23.5 IPS |
