iPhone 14
Geekbench ML Score
1897
Core ML CPU Inference Score
Geekbench ML 0.6.0 for iOS AArch64
Result Information
| Upload Date | January 05 2025 07:06 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% |
940
175.9 IPS |
|
|
Image Classification (F16)
|
100% |
911
170.5 IPS |
|
|
Image Classification (I8)
|
99% |
907
169.8 IPS |
|
|
Image Segmentation (F32)
|
100% |
619
10.3 IPS |
|
|
Image Segmentation (F16)
|
100% |
546
9.12 IPS |
|
|
Image Segmentation (I8)
|
100% |
549
9.17 IPS |
|
|
Pose Estimation (F32)
|
100% |
5288
6.40 IPS |
|
|
Pose Estimation (F16)
|
100% |
9275
11.2 IPS |
|
|
Pose Estimation (I8)
|
100% |
9507
11.5 IPS |
|
|
Object Detection (F32)
|
100% |
996
74.4 IPS |
|
|
Object Detection (F16)
|
100% |
1023
76.3 IPS |
|
|
Object Detection (I8)
|
97% |
1012
75.6 IPS |
|
|
Face Detection (F32)
|
100% |
1742
20.7 IPS |
|
|
Face Detection (F16)
|
100% |
1559
18.5 IPS |
|
|
Face Detection (I8)
|
99% |
1555
18.5 IPS |
|
|
Depth Estimation (F32)
|
100% |
3167
24.6 IPS |
|
|
Depth Estimation (F16)
|
99% |
3634
28.2 IPS |
|
|
Depth Estimation (I8)
|
99% |
3549
27.5 IPS |
|
|
Style Transfer (F32)
|
100% |
9677
12.7 IPS |
|
|
Style Transfer (F16)
|
100% |
11365
14.9 IPS |
|
|
Style Transfer (I8)
|
100% |
11388
15.0 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
2381
85.0 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
2572
91.8 IPS |
|
|
Image Super-Resolution (I8)
|
100% |
2570
91.8 IPS |
|
|
Text Classification (F32)
|
100% |
999
1.44 KIPS |
|
|
Text Classification (F16)
|
100% |
473
679.1 IPS |
|
|
Text Classification (I8)
|
96% |
626
899.6 IPS |
|
|
Machine Translation (F32)
|
100% |
1364
25.1 IPS |
|
|
Machine Translation (F16)
|
99% |
1728
31.8 IPS |
|
|
Machine Translation (I8)
|
99% |
1348
24.8 IPS |
