iPhone 14
Geekbench ML Score
3160
Core ML CPU Inference Score
Geekbench ML 0.6.0 for iOS AArch64
Result Information
| Upload Date | July 06 2024 03:46 PM |
| Views | 1 |
System Information
| System Information | |
|---|---|
| Operating System | iOS 17.5.1 |
| 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% |
1355
253.6 IPS |
|
|
Image Classification (F16)
|
100% |
1719
321.7 IPS |
|
|
Image Classification (I8)
|
99% |
1728
323.4 IPS |
|
|
Image Segmentation (F32)
|
100% |
784
13.1 IPS |
|
|
Image Segmentation (F16)
|
100% |
770
12.9 IPS |
|
|
Image Segmentation (I8)
|
100% |
763
12.7 IPS |
|
|
Pose Estimation (F32)
|
100% |
5101
6.18 IPS |
|
|
Pose Estimation (F16)
|
100% |
12712
15.4 IPS |
|
|
Pose Estimation (I8)
|
100% |
12632
15.3 IPS |
|
|
Object Detection (F32)
|
100% |
1305
97.4 IPS |
|
|
Object Detection (F16)
|
100% |
1801
134.4 IPS |
|
|
Object Detection (I8)
|
97% |
1303
97.2 IPS |
|
|
Face Detection (F32)
|
100% |
2321
27.6 IPS |
|
|
Face Detection (F16)
|
97% |
3645
43.3 IPS |
|
|
Face Detection (I8)
|
97% |
3636
43.2 IPS |
|
|
Depth Estimation (F32)
|
100% |
4557
35.3 IPS |
|
|
Depth Estimation (F16)
|
100% |
7740
60.0 IPS |
|
|
Depth Estimation (I8)
|
99% |
7725
59.9 IPS |
|
|
Style Transfer (F32)
|
100% |
15681
20.6 IPS |
|
|
Style Transfer (F16)
|
100% |
24204
31.8 IPS |
|
|
Style Transfer (I8)
|
100% |
24325
32.0 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
3622
129.4 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
4890
174.6 IPS |
|
|
Image Super-Resolution (I8)
|
100% |
4901
175.0 IPS |
|
|
Text Classification (F32)
|
100% |
2176
3.13 KIPS |
|
|
Text Classification (F16)
|
100% |
3366
4.84 KIPS |
|
|
Text Classification (I8)
|
96% |
3379
4.86 KIPS |
|
|
Machine Translation (F32)
|
100% |
1050
19.3 IPS |
|
|
Machine Translation (F16)
|
100% |
1213
22.3 IPS |
|
|
Machine Translation (I8)
|
99% |
994
18.3 IPS |
