iPhone 14
Geekbench ML Score
3319
Core ML CPU Inference Score
Geekbench ML 0.6.0 for iOS AArch64
Result Information
| Upload Date | July 13 2024 02:38 PM |
| Views | 3 |
System Information
| System Information | |
|---|---|
| Operating System | iOS 17.6 |
| 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% |
1397
261.4 IPS |
|
|
Image Classification (F16)
|
100% |
1740
325.5 IPS |
|
|
Image Classification (I8)
|
99% |
1746
326.7 IPS |
|
|
Image Segmentation (F32)
|
100% |
827
13.8 IPS |
|
|
Image Segmentation (F16)
|
100% |
822
13.7 IPS |
|
|
Image Segmentation (I8)
|
100% |
821
13.7 IPS |
|
|
Pose Estimation (F32)
|
100% |
5696
6.90 IPS |
|
|
Pose Estimation (F16)
|
100% |
13428
16.3 IPS |
|
|
Pose Estimation (I8)
|
100% |
13386
16.2 IPS |
|
|
Object Detection (F32)
|
100% |
1383
103.3 IPS |
|
|
Object Detection (F16)
|
100% |
1865
139.2 IPS |
|
|
Object Detection (I8)
|
97% |
1379
103.0 IPS |
|
|
Face Detection (F32)
|
100% |
2457
29.2 IPS |
|
|
Face Detection (F16)
|
97% |
3935
46.8 IPS |
|
|
Face Detection (I8)
|
97% |
3930
46.7 IPS |
|
|
Depth Estimation (F32)
|
100% |
5017
38.9 IPS |
|
|
Depth Estimation (F16)
|
100% |
8186
63.5 IPS |
|
|
Depth Estimation (I8)
|
99% |
8122
63.0 IPS |
|
|
Style Transfer (F32)
|
100% |
16273
21.4 IPS |
|
|
Style Transfer (F16)
|
100% |
25036
32.9 IPS |
|
|
Style Transfer (I8)
|
100% |
25029
32.9 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
3772
134.7 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
4879
174.3 IPS |
|
|
Image Super-Resolution (I8)
|
100% |
4852
173.3 IPS |
|
|
Text Classification (F32)
|
100% |
2200
3.16 KIPS |
|
|
Text Classification (F16)
|
100% |
3261
4.69 KIPS |
|
|
Text Classification (I8)
|
96% |
3350
4.81 KIPS |
|
|
Machine Translation (F32)
|
100% |
1181
21.7 IPS |
|
|
Machine Translation (F16)
|
100% |
1348
24.8 IPS |
|
|
Machine Translation (I8)
|
99% |
1124
20.7 IPS |
