iPhone 14
Geekbench ML Score
1883
Core ML CPU Inference Score
Geekbench ML 0.6.0 for iOS AArch64
Result Information
| Upload Date | October 08 2024 05:18 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% |
936
175.2 IPS |
|
|
Image Classification (F16)
|
100% |
900
168.5 IPS |
|
|
Image Classification (I8)
|
99% |
907
169.7 IPS |
|
|
Image Segmentation (F32)
|
100% |
605
10.1 IPS |
|
|
Image Segmentation (F16)
|
100% |
545
9.11 IPS |
|
|
Image Segmentation (I8)
|
100% |
534
8.91 IPS |
|
|
Pose Estimation (F32)
|
100% |
5269
6.38 IPS |
|
|
Pose Estimation (F16)
|
100% |
9417
11.4 IPS |
|
|
Pose Estimation (I8)
|
100% |
9415
11.4 IPS |
|
|
Object Detection (F32)
|
100% |
1037
77.4 IPS |
|
|
Object Detection (F16)
|
100% |
1037
77.4 IPS |
|
|
Object Detection (I8)
|
97% |
1043
77.9 IPS |
|
|
Face Detection (F32)
|
100% |
1687
20.1 IPS |
|
|
Face Detection (F16)
|
100% |
1512
18.0 IPS |
|
|
Face Detection (I8)
|
99% |
1499
17.8 IPS |
|
|
Depth Estimation (F32)
|
100% |
3117
24.2 IPS |
|
|
Depth Estimation (F16)
|
99% |
3577
27.7 IPS |
|
|
Depth Estimation (I8)
|
99% |
3530
27.4 IPS |
|
|
Style Transfer (F32)
|
100% |
9642
12.7 IPS |
|
|
Style Transfer (F16)
|
100% |
11323
14.9 IPS |
|
|
Style Transfer (I8)
|
100% |
11377
15.0 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
2378
84.9 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
2536
90.6 IPS |
|
|
Image Super-Resolution (I8)
|
100% |
2541
90.7 IPS |
|
|
Text Classification (F32)
|
100% |
999
1.44 KIPS |
|
|
Text Classification (F16)
|
100% |
477
685.7 IPS |
|
|
Text Classification (I8)
|
96% |
638
917.2 IPS |
|
|
Machine Translation (F32)
|
100% |
1327
24.4 IPS |
|
|
Machine Translation (F16)
|
99% |
1679
30.9 IPS |
|
|
Machine Translation (I8)
|
99% |
1294
23.8 IPS |
