iPhone 14
Geekbench ML Score
1884
Core ML CPU Inference Score
Geekbench ML 0.6.0 for iOS AArch64
Result Information
| Upload Date | January 17 2025 04:14 PM |
| Views | 3 |
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% |
908
170.0 IPS |
|
|
Image Classification (F16)
|
100% |
832
155.7 IPS |
|
|
Image Classification (I8)
|
99% |
895
167.6 IPS |
|
|
Image Segmentation (F32)
|
100% |
592
9.89 IPS |
|
|
Image Segmentation (F16)
|
100% |
502
8.38 IPS |
|
|
Image Segmentation (I8)
|
100% |
526
8.78 IPS |
|
|
Pose Estimation (F32)
|
100% |
5242
6.35 IPS |
|
|
Pose Estimation (F16)
|
100% |
9543
11.6 IPS |
|
|
Pose Estimation (I8)
|
100% |
9407
11.4 IPS |
|
|
Object Detection (F32)
|
100% |
993
74.2 IPS |
|
|
Object Detection (F16)
|
100% |
1031
77.0 IPS |
|
|
Object Detection (I8)
|
97% |
1026
76.6 IPS |
|
|
Face Detection (F32)
|
100% |
1730
20.6 IPS |
|
|
Face Detection (F16)
|
100% |
1544
18.4 IPS |
|
|
Face Detection (I8)
|
99% |
1541
18.3 IPS |
|
|
Depth Estimation (F32)
|
100% |
3239
25.1 IPS |
|
|
Depth Estimation (F16)
|
99% |
3662
28.4 IPS |
|
|
Depth Estimation (I8)
|
99% |
3650
28.3 IPS |
|
|
Style Transfer (F32)
|
100% |
9833
12.9 IPS |
|
|
Style Transfer (F16)
|
100% |
11692
15.4 IPS |
|
|
Style Transfer (I8)
|
100% |
11666
15.3 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
2429
86.8 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
2564
91.6 IPS |
|
|
Image Super-Resolution (I8)
|
100% |
2564
91.6 IPS |
|
|
Text Classification (F32)
|
100% |
999
1.44 KIPS |
|
|
Text Classification (F16)
|
100% |
464
667.1 IPS |
|
|
Text Classification (I8)
|
96% |
611
878.8 IPS |
|
|
Machine Translation (F32)
|
100% |
1360
25.0 IPS |
|
|
Machine Translation (F16)
|
99% |
1755
32.3 IPS |
|
|
Machine Translation (I8)
|
99% |
1333
24.5 IPS |
