iPhone 14
Geekbench ML Score
1846
Core ML CPU Inference Score
Geekbench ML 0.6.0 for iOS AArch64
Result Information
| Upload Date | June 29 2025 05:50 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% |
925
173.1 IPS |
|
|
Image Classification (F16)
|
100% |
895
167.4 IPS |
|
|
Image Classification (I8)
|
99% |
903
168.9 IPS |
|
|
Image Segmentation (F32)
|
100% |
593
9.91 IPS |
|
|
Image Segmentation (F16)
|
100% |
519
8.67 IPS |
|
|
Image Segmentation (I8)
|
100% |
522
8.72 IPS |
|
|
Pose Estimation (F32)
|
100% |
5113
6.19 IPS |
|
|
Pose Estimation (F16)
|
100% |
9411
11.4 IPS |
|
|
Pose Estimation (I8)
|
100% |
9190
11.1 IPS |
|
|
Object Detection (F32)
|
100% |
989
73.9 IPS |
|
|
Object Detection (F16)
|
100% |
1001
74.7 IPS |
|
|
Object Detection (I8)
|
97% |
995
74.3 IPS |
|
|
Face Detection (F32)
|
100% |
1681
20.0 IPS |
|
|
Face Detection (F16)
|
100% |
1474
17.5 IPS |
|
|
Face Detection (I8)
|
99% |
1472
17.5 IPS |
|
|
Depth Estimation (F32)
|
100% |
3064
23.8 IPS |
|
|
Depth Estimation (F16)
|
99% |
3461
26.8 IPS |
|
|
Depth Estimation (I8)
|
99% |
3409
26.4 IPS |
|
|
Style Transfer (F32)
|
100% |
9377
12.3 IPS |
|
|
Style Transfer (F16)
|
100% |
11052
14.5 IPS |
|
|
Style Transfer (I8)
|
100% |
11104
14.6 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
2330
83.2 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
2541
90.8 IPS |
|
|
Image Super-Resolution (I8)
|
100% |
2486
88.8 IPS |
|
|
Text Classification (F32)
|
100% |
996
1.43 KIPS |
|
|
Text Classification (F16)
|
100% |
461
662.7 IPS |
|
|
Text Classification (I8)
|
96% |
648
930.6 IPS |
|
|
Machine Translation (F32)
|
100% |
1297
23.9 IPS |
|
|
Machine Translation (F16)
|
99% |
1684
31.0 IPS |
|
|
Machine Translation (I8)
|
99% |
1289
23.7 IPS |
