iPhone 14
Geekbench ML Score
1837
Core ML CPU Inference Score
Geekbench ML 0.6.0 for iOS AArch64
Result Information
| Upload Date | July 18 2024 08:38 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
176.7 IPS |
|
|
Image Classification (F16)
|
100% |
906
169.5 IPS |
|
|
Image Classification (I8)
|
99% |
909
170.1 IPS |
|
|
Image Segmentation (F32)
|
100% |
588
9.82 IPS |
|
|
Image Segmentation (F16)
|
100% |
526
8.79 IPS |
|
|
Image Segmentation (I8)
|
100% |
512
8.55 IPS |
|
|
Pose Estimation (F32)
|
100% |
5138
6.22 IPS |
|
|
Pose Estimation (F16)
|
100% |
9383
11.4 IPS |
|
|
Pose Estimation (I8)
|
100% |
9175
11.1 IPS |
|
|
Object Detection (F32)
|
100% |
1008
75.2 IPS |
|
|
Object Detection (F16)
|
100% |
1014
75.7 IPS |
|
|
Object Detection (I8)
|
97% |
964
72.0 IPS |
|
|
Face Detection (F32)
|
100% |
1634
19.4 IPS |
|
|
Face Detection (F16)
|
100% |
1468
17.5 IPS |
|
|
Face Detection (I8)
|
99% |
1452
17.3 IPS |
|
|
Depth Estimation (F32)
|
100% |
3043
23.6 IPS |
|
|
Depth Estimation (F16)
|
99% |
3475
26.9 IPS |
|
|
Depth Estimation (I8)
|
99% |
3337
25.9 IPS |
|
|
Style Transfer (F32)
|
100% |
9312
12.2 IPS |
|
|
Style Transfer (F16)
|
100% |
10892
14.3 IPS |
|
|
Style Transfer (I8)
|
100% |
10726
14.1 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
2300
82.1 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
2526
90.2 IPS |
|
|
Image Super-Resolution (I8)
|
100% |
2460
87.8 IPS |
|
|
Text Classification (F32)
|
100% |
985
1.42 KIPS |
|
|
Text Classification (F16)
|
100% |
479
688.4 IPS |
|
|
Text Classification (I8)
|
96% |
647
929.4 IPS |
|
|
Machine Translation (F32)
|
100% |
1294
23.8 IPS |
|
|
Machine Translation (F16)
|
99% |
1646
30.3 IPS |
|
|
Machine Translation (I8)
|
99% |
1267
23.3 IPS |
