iPhone 14
Geekbench ML Score
1838
Core ML CPU Inference Score
Geekbench ML 0.6.0 for iOS AArch64
Result Information
| Upload Date | September 12 2024 05:15 AM |
| Views | 3 |
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% |
928
173.6 IPS |
|
|
Image Classification (F16)
|
100% |
902
168.7 IPS |
|
|
Image Classification (I8)
|
99% |
905
169.3 IPS |
|
|
Image Segmentation (F32)
|
100% |
598
9.98 IPS |
|
|
Image Segmentation (F16)
|
100% |
532
8.89 IPS |
|
|
Image Segmentation (I8)
|
100% |
544
9.09 IPS |
|
|
Pose Estimation (F32)
|
100% |
5188
6.28 IPS |
|
|
Pose Estimation (F16)
|
100% |
9518
11.5 IPS |
|
|
Pose Estimation (I8)
|
100% |
9222
11.2 IPS |
|
|
Object Detection (F32)
|
100% |
993
74.1 IPS |
|
|
Object Detection (F16)
|
100% |
1015
75.8 IPS |
|
|
Object Detection (I8)
|
97% |
1003
74.9 IPS |
|
|
Face Detection (F32)
|
100% |
1694
20.1 IPS |
|
|
Face Detection (F16)
|
100% |
1502
17.9 IPS |
|
|
Face Detection (I8)
|
99% |
1487
17.7 IPS |
|
|
Depth Estimation (F32)
|
100% |
2873
22.3 IPS |
|
|
Depth Estimation (F16)
|
99% |
3325
25.8 IPS |
|
|
Depth Estimation (I8)
|
99% |
3192
24.8 IPS |
|
|
Style Transfer (F32)
|
100% |
8905
11.7 IPS |
|
|
Style Transfer (F16)
|
100% |
10978
14.4 IPS |
|
|
Style Transfer (I8)
|
100% |
11030
14.5 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
2325
83.0 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
2528
90.3 IPS |
|
|
Image Super-Resolution (I8)
|
100% |
2531
90.4 IPS |
|
|
Text Classification (F32)
|
100% |
973
1.40 KIPS |
|
|
Text Classification (F16)
|
100% |
455
653.2 IPS |
|
|
Text Classification (I8)
|
96% |
594
853.3 IPS |
|
|
Machine Translation (F32)
|
100% |
1318
24.3 IPS |
|
|
Machine Translation (F16)
|
99% |
1700
31.3 IPS |
|
|
Machine Translation (I8)
|
99% |
1301
23.9 IPS |
