iPhone 14
Geekbench ML Score
1927
Core ML CPU Inference Score
Geekbench ML 0.6.0 for iOS AArch64
Result Information
| Upload Date | February 01 2025 04:28 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% |
945
176.8 IPS |
|
|
Image Classification (F16)
|
100% |
911
170.5 IPS |
|
|
Image Classification (I8)
|
99% |
916
171.4 IPS |
|
|
Image Segmentation (F32)
|
100% |
642
10.7 IPS |
|
|
Image Segmentation (F16)
|
100% |
583
9.73 IPS |
|
|
Image Segmentation (I8)
|
100% |
574
9.59 IPS |
|
|
Pose Estimation (F32)
|
100% |
5349
6.48 IPS |
|
|
Pose Estimation (F16)
|
100% |
9572
11.6 IPS |
|
|
Pose Estimation (I8)
|
100% |
9597
11.6 IPS |
|
|
Object Detection (F32)
|
100% |
962
71.8 IPS |
|
|
Object Detection (F16)
|
100% |
1052
78.5 IPS |
|
|
Object Detection (I8)
|
97% |
1033
77.1 IPS |
|
|
Face Detection (F32)
|
100% |
1754
20.9 IPS |
|
|
Face Detection (F16)
|
100% |
1604
19.1 IPS |
|
|
Face Detection (I8)
|
99% |
1617
19.2 IPS |
|
|
Depth Estimation (F32)
|
100% |
3294
25.5 IPS |
|
|
Depth Estimation (F16)
|
99% |
3643
28.2 IPS |
|
|
Depth Estimation (I8)
|
99% |
3654
28.3 IPS |
|
|
Style Transfer (F32)
|
100% |
9904
13.0 IPS |
|
|
Style Transfer (F16)
|
100% |
11796
15.5 IPS |
|
|
Style Transfer (I8)
|
100% |
11761
15.5 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
2416
86.3 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
2548
91.0 IPS |
|
|
Image Super-Resolution (I8)
|
100% |
2549
91.0 IPS |
|
|
Text Classification (F32)
|
100% |
971
1.40 KIPS |
|
|
Text Classification (F16)
|
100% |
463
666.1 IPS |
|
|
Text Classification (I8)
|
96% |
649
932.9 IPS |
|
|
Machine Translation (F32)
|
100% |
1355
24.9 IPS |
|
|
Machine Translation (F16)
|
99% |
1790
32.9 IPS |
|
|
Machine Translation (I8)
|
99% |
1347
24.8 IPS |
