iPhone 14
Geekbench ML Score
1936
Core ML CPU Inference Score
Geekbench ML 0.6.0 for iOS AArch64
Result Information
| Upload Date | September 20 2024 06:18 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% |
938
175.5 IPS |
|
|
Image Classification (F16)
|
100% |
903
169.0 IPS |
|
|
Image Classification (I8)
|
99% |
907
169.7 IPS |
|
|
Image Segmentation (F32)
|
100% |
638
10.6 IPS |
|
|
Image Segmentation (F16)
|
100% |
582
9.73 IPS |
|
|
Image Segmentation (I8)
|
100% |
572
9.55 IPS |
|
|
Pose Estimation (F32)
|
100% |
5456
6.61 IPS |
|
|
Pose Estimation (F16)
|
100% |
9725
11.8 IPS |
|
|
Pose Estimation (I8)
|
100% |
9614
11.6 IPS |
|
|
Object Detection (F32)
|
100% |
1031
77.0 IPS |
|
|
Object Detection (F16)
|
100% |
1041
77.8 IPS |
|
|
Object Detection (I8)
|
97% |
1034
77.2 IPS |
|
|
Face Detection (F32)
|
100% |
1773
21.1 IPS |
|
|
Face Detection (F16)
|
100% |
1629
19.4 IPS |
|
|
Face Detection (I8)
|
99% |
1630
19.4 IPS |
|
|
Depth Estimation (F32)
|
100% |
3270
25.4 IPS |
|
|
Depth Estimation (F16)
|
99% |
3663
28.4 IPS |
|
|
Depth Estimation (I8)
|
99% |
3666
28.4 IPS |
|
|
Style Transfer (F32)
|
100% |
9975
13.1 IPS |
|
|
Style Transfer (F16)
|
100% |
11786
15.5 IPS |
|
|
Style Transfer (I8)
|
100% |
11751
15.5 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
2403
85.8 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
2558
91.3 IPS |
|
|
Image Super-Resolution (I8)
|
100% |
2549
91.0 IPS |
|
|
Text Classification (F32)
|
100% |
1000
1.44 KIPS |
|
|
Text Classification (F16)
|
100% |
464
666.6 IPS |
|
|
Text Classification (I8)
|
96% |
646
928.7 IPS |
|
|
Machine Translation (F32)
|
100% |
1362
25.1 IPS |
|
|
Machine Translation (F16)
|
99% |
1792
33.0 IPS |
|
|
Machine Translation (I8)
|
99% |
1351
24.9 IPS |
