iPhone 14
Geekbench ML Score
1896
Core ML CPU Inference Score
Geekbench ML 0.6.0 for iOS AArch64
Result Information
| Upload Date | November 13 2024 09:36 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% |
943
176.4 IPS |
|
|
Image Classification (F16)
|
100% |
908
169.9 IPS |
|
|
Image Classification (I8)
|
99% |
913
170.8 IPS |
|
|
Image Segmentation (F32)
|
100% |
617
10.3 IPS |
|
|
Image Segmentation (F16)
|
100% |
557
9.30 IPS |
|
|
Image Segmentation (I8)
|
100% |
536
8.96 IPS |
|
|
Pose Estimation (F32)
|
100% |
5327
6.45 IPS |
|
|
Pose Estimation (F16)
|
100% |
9601
11.6 IPS |
|
|
Pose Estimation (I8)
|
100% |
9490
11.5 IPS |
|
|
Object Detection (F32)
|
100% |
1033
77.1 IPS |
|
|
Object Detection (F16)
|
100% |
1032
77.0 IPS |
|
|
Object Detection (I8)
|
97% |
1027
76.6 IPS |
|
|
Face Detection (F32)
|
100% |
1717
20.4 IPS |
|
|
Face Detection (F16)
|
100% |
1547
18.4 IPS |
|
|
Face Detection (I8)
|
99% |
1512
18.0 IPS |
|
|
Depth Estimation (F32)
|
100% |
3175
24.6 IPS |
|
|
Depth Estimation (F16)
|
99% |
3633
28.2 IPS |
|
|
Depth Estimation (I8)
|
99% |
3606
28.0 IPS |
|
|
Style Transfer (F32)
|
100% |
9798
12.9 IPS |
|
|
Style Transfer (F16)
|
100% |
11460
15.1 IPS |
|
|
Style Transfer (I8)
|
100% |
11660
15.3 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
2378
84.9 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
2519
89.9 IPS |
|
|
Image Super-Resolution (I8)
|
100% |
2523
90.1 IPS |
|
|
Text Classification (F32)
|
100% |
1006
1.45 KIPS |
|
|
Text Classification (F16)
|
100% |
461
663.1 IPS |
|
|
Text Classification (I8)
|
96% |
611
878.8 IPS |
|
|
Machine Translation (F32)
|
100% |
1337
24.6 IPS |
|
|
Machine Translation (F16)
|
99% |
1728
31.8 IPS |
|
|
Machine Translation (I8)
|
99% |
1310
24.1 IPS |
