iPhone 14
Geekbench ML Score
1873
Core ML CPU Inference Score
Geekbench ML 0.6.0 for iOS AArch64
Result Information
| Upload Date | November 16 2024 09:17 PM |
| Views | 2 |
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% |
959
179.5 IPS |
|
|
Image Classification (F16)
|
100% |
908
169.8 IPS |
|
|
Image Classification (I8)
|
99% |
909
170.2 IPS |
|
|
Image Segmentation (F32)
|
100% |
613
10.2 IPS |
|
|
Image Segmentation (F16)
|
100% |
549
9.17 IPS |
|
|
Image Segmentation (I8)
|
100% |
530
8.85 IPS |
|
|
Pose Estimation (F32)
|
100% |
5240
6.35 IPS |
|
|
Pose Estimation (F16)
|
100% |
9477
11.5 IPS |
|
|
Pose Estimation (I8)
|
100% |
9364
11.3 IPS |
|
|
Object Detection (F32)
|
100% |
1026
76.6 IPS |
|
|
Object Detection (F16)
|
100% |
1040
77.7 IPS |
|
|
Object Detection (I8)
|
97% |
1008
75.2 IPS |
|
|
Face Detection (F32)
|
100% |
1684
20.0 IPS |
|
|
Face Detection (F16)
|
100% |
1514
18.0 IPS |
|
|
Face Detection (I8)
|
99% |
1509
17.9 IPS |
|
|
Depth Estimation (F32)
|
100% |
3169
24.6 IPS |
|
|
Depth Estimation (F16)
|
99% |
3543
27.5 IPS |
|
|
Depth Estimation (I8)
|
99% |
3455
26.8 IPS |
|
|
Style Transfer (F32)
|
100% |
9379
12.3 IPS |
|
|
Style Transfer (F16)
|
100% |
11157
14.7 IPS |
|
|
Style Transfer (I8)
|
100% |
11105
14.6 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
2392
85.4 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
2541
90.7 IPS |
|
|
Image Super-Resolution (I8)
|
100% |
2538
90.7 IPS |
|
|
Text Classification (F32)
|
100% |
990
1.42 KIPS |
|
|
Text Classification (F16)
|
100% |
466
669.9 IPS |
|
|
Text Classification (I8)
|
96% |
610
876.4 IPS |
|
|
Machine Translation (F32)
|
100% |
1320
24.3 IPS |
|
|
Machine Translation (F16)
|
99% |
1674
30.8 IPS |
|
|
Machine Translation (I8)
|
99% |
1292
23.8 IPS |
