iPhone 14
Geekbench ML Score
1906
Core ML CPU Inference Score
Geekbench ML 0.6.0 for iOS AArch64
Result Information
| Upload Date | January 23 2025 08:46 PM |
| Views | 5 |
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% |
934
174.9 IPS |
|
|
Image Classification (F16)
|
100% |
903
169.0 IPS |
|
|
Image Classification (I8)
|
99% |
905
169.3 IPS |
|
|
Image Segmentation (F32)
|
100% |
615
10.3 IPS |
|
|
Image Segmentation (F16)
|
100% |
551
9.21 IPS |
|
|
Image Segmentation (I8)
|
100% |
542
9.05 IPS |
|
|
Pose Estimation (F32)
|
100% |
5314
6.44 IPS |
|
|
Pose Estimation (F16)
|
100% |
9569
11.6 IPS |
|
|
Pose Estimation (I8)
|
100% |
9528
11.5 IPS |
|
|
Object Detection (F32)
|
100% |
1031
76.9 IPS |
|
|
Object Detection (F16)
|
100% |
1064
79.4 IPS |
|
|
Object Detection (I8)
|
97% |
1023
76.4 IPS |
|
|
Face Detection (F32)
|
100% |
1743
20.7 IPS |
|
|
Face Detection (F16)
|
100% |
1576
18.7 IPS |
|
|
Face Detection (I8)
|
99% |
1558
18.5 IPS |
|
|
Depth Estimation (F32)
|
100% |
3285
25.5 IPS |
|
|
Depth Estimation (F16)
|
99% |
3625
28.1 IPS |
|
|
Depth Estimation (I8)
|
99% |
3619
28.1 IPS |
|
|
Style Transfer (F32)
|
100% |
9782
12.9 IPS |
|
|
Style Transfer (F16)
|
100% |
11598
15.3 IPS |
|
|
Style Transfer (I8)
|
100% |
11453
15.1 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
2416
86.3 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
2557
91.3 IPS |
|
|
Image Super-Resolution (I8)
|
100% |
2534
90.5 IPS |
|
|
Text Classification (F32)
|
100% |
993
1.43 KIPS |
|
|
Text Classification (F16)
|
100% |
469
674.0 IPS |
|
|
Text Classification (I8)
|
96% |
618
888.3 IPS |
|
|
Machine Translation (F32)
|
100% |
1346
24.8 IPS |
|
|
Machine Translation (F16)
|
99% |
1736
32.0 IPS |
|
|
Machine Translation (I8)
|
99% |
1330
24.5 IPS |
