iPhone 14
Geekbench ML Score
1911
Core ML CPU Inference Score
Geekbench ML 0.6.0 for iOS AArch64
Result Information
| Upload Date | May 05 2025 04:07 PM |
| Views | 11 |
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% |
942
176.2 IPS |
|
|
Image Classification (F16)
|
100% |
910
170.2 IPS |
|
|
Image Classification (I8)
|
99% |
918
171.8 IPS |
|
|
Image Segmentation (F32)
|
100% |
635
10.6 IPS |
|
|
Image Segmentation (F16)
|
100% |
576
9.62 IPS |
|
|
Image Segmentation (I8)
|
100% |
573
9.56 IPS |
|
|
Pose Estimation (F32)
|
100% |
5455
6.61 IPS |
|
|
Pose Estimation (F16)
|
100% |
9517
11.5 IPS |
|
|
Pose Estimation (I8)
|
100% |
9602
11.6 IPS |
|
|
Object Detection (F32)
|
100% |
1016
75.8 IPS |
|
|
Object Detection (F16)
|
100% |
1038
77.5 IPS |
|
|
Object Detection (I8)
|
97% |
1023
76.4 IPS |
|
|
Face Detection (F32)
|
100% |
1728
20.5 IPS |
|
|
Face Detection (F16)
|
100% |
1595
19.0 IPS |
|
|
Face Detection (I8)
|
99% |
1581
18.8 IPS |
|
|
Depth Estimation (F32)
|
100% |
3126
24.2 IPS |
|
|
Depth Estimation (F16)
|
99% |
3621
28.1 IPS |
|
|
Depth Estimation (I8)
|
99% |
3590
27.8 IPS |
|
|
Style Transfer (F32)
|
100% |
9764
12.8 IPS |
|
|
Style Transfer (F16)
|
100% |
11385
15.0 IPS |
|
|
Style Transfer (I8)
|
100% |
11407
15.0 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
2379
85.0 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
2539
90.7 IPS |
|
|
Image Super-Resolution (I8)
|
100% |
2552
91.2 IPS |
|
|
Text Classification (F32)
|
100% |
976
1.40 KIPS |
|
|
Text Classification (F16)
|
100% |
466
669.8 IPS |
|
|
Text Classification (I8)
|
96% |
626
899.1 IPS |
|
|
Machine Translation (F32)
|
100% |
1359
25.0 IPS |
|
|
Machine Translation (F16)
|
99% |
1752
32.2 IPS |
|
|
Machine Translation (I8)
|
99% |
1336
24.6 IPS |
