iPhone 14
Geekbench ML Score
3344
Core ML CPU Inference Score
Geekbench ML 0.6.0 for iOS AArch64
Result Information
| Upload Date | April 13 2024 10:10 AM |
| Views | 1 |
System Information
| System Information | |
|---|---|
| Operating System | iOS 17.4.1 |
| 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 | 5.54 GB |
| Inference Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Default |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
1391
260.4 IPS |
|
|
Image Classification (F16)
|
100% |
1749
327.3 IPS |
|
|
Image Classification (I8)
|
99% |
1749
327.3 IPS |
|
|
Image Segmentation (F32)
|
100% |
825
13.8 IPS |
|
|
Image Segmentation (F16)
|
100% |
823
13.7 IPS |
|
|
Image Segmentation (I8)
|
100% |
822
13.7 IPS |
|
|
Pose Estimation (F32)
|
100% |
5699
6.90 IPS |
|
|
Pose Estimation (F16)
|
100% |
13578
16.4 IPS |
|
|
Pose Estimation (I8)
|
100% |
13583
16.4 IPS |
|
|
Object Detection (F32)
|
100% |
1383
103.2 IPS |
|
|
Object Detection (F16)
|
100% |
1861
138.9 IPS |
|
|
Object Detection (I8)
|
97% |
1385
103.4 IPS |
|
|
Face Detection (F32)
|
100% |
2500
29.7 IPS |
|
|
Face Detection (F16)
|
97% |
3988
47.4 IPS |
|
|
Face Detection (I8)
|
97% |
3976
47.3 IPS |
|
|
Depth Estimation (F32)
|
100% |
5095
39.5 IPS |
|
|
Depth Estimation (F16)
|
100% |
8200
63.6 IPS |
|
|
Depth Estimation (I8)
|
99% |
8168
63.3 IPS |
|
|
Style Transfer (F32)
|
100% |
16342
21.5 IPS |
|
|
Style Transfer (F16)
|
100% |
25142
33.1 IPS |
|
|
Style Transfer (I8)
|
100% |
25149
33.1 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
3747
133.8 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
4866
173.8 IPS |
|
|
Image Super-Resolution (I8)
|
100% |
4887
174.5 IPS |
|
|
Text Classification (F32)
|
100% |
2193
3.15 KIPS |
|
|
Text Classification (F16)
|
100% |
3502
5.03 KIPS |
|
|
Text Classification (I8)
|
96% |
3512
5.05 KIPS |
|
|
Machine Translation (F32)
|
100% |
1140
21.0 IPS |
|
|
Machine Translation (F16)
|
100% |
1417
26.1 IPS |
|
|
Machine Translation (I8)
|
99% |
1117
20.5 IPS |
