iPhone 14
Geekbench ML Score
1908
Core ML CPU Inference Score
Geekbench ML 0.6.0 for iOS AArch64
Result Information
| Upload Date | December 22 2024 06:48 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% |
964
180.5 IPS |
|
|
Image Classification (F16)
|
100% |
912
170.6 IPS |
|
|
Image Classification (I8)
|
99% |
903
169.0 IPS |
|
|
Image Segmentation (F32)
|
100% |
626
10.5 IPS |
|
|
Image Segmentation (F16)
|
100% |
558
9.32 IPS |
|
|
Image Segmentation (I8)
|
100% |
540
9.02 IPS |
|
|
Pose Estimation (F32)
|
100% |
5326
6.45 IPS |
|
|
Pose Estimation (F16)
|
100% |
9555
11.6 IPS |
|
|
Pose Estimation (I8)
|
100% |
9465
11.5 IPS |
|
|
Object Detection (F32)
|
100% |
1028
76.8 IPS |
|
|
Object Detection (F16)
|
100% |
1017
75.9 IPS |
|
|
Object Detection (I8)
|
97% |
1034
77.2 IPS |
|
|
Face Detection (F32)
|
100% |
1732
20.6 IPS |
|
|
Face Detection (F16)
|
100% |
1563
18.6 IPS |
|
|
Face Detection (I8)
|
99% |
1536
18.3 IPS |
|
|
Depth Estimation (F32)
|
100% |
3223
25.0 IPS |
|
|
Depth Estimation (F16)
|
99% |
3635
28.2 IPS |
|
|
Depth Estimation (I8)
|
99% |
3575
27.7 IPS |
|
|
Style Transfer (F32)
|
100% |
9824
12.9 IPS |
|
|
Style Transfer (F16)
|
100% |
11703
15.4 IPS |
|
|
Style Transfer (I8)
|
100% |
11471
15.1 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
2398
85.6 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
2556
91.3 IPS |
|
|
Image Super-Resolution (I8)
|
100% |
2546
90.9 IPS |
|
|
Text Classification (F32)
|
100% |
1006
1.45 KIPS |
|
|
Text Classification (F16)
|
100% |
475
683.0 IPS |
|
|
Text Classification (I8)
|
96% |
644
925.4 IPS |
|
|
Machine Translation (F32)
|
100% |
1349
24.8 IPS |
|
|
Machine Translation (F16)
|
99% |
1727
31.8 IPS |
|
|
Machine Translation (I8)
|
99% |
1324
24.4 IPS |
