iPhone 14 Plus
Geekbench ML Score
3309
Core ML CPU Inference Score
Geekbench ML 0.6.0 for iOS AArch64
Result Information
| Upload Date | August 21 2024 01:42 PM |
| Views | 1 |
System Information
| System Information | |
|---|---|
| Operating System | iOS 17.6.1 |
| Model | iPhone 14 Plus |
| Model ID | iPhone14,8 |
| Motherboard | D28AP |
| 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 | 5.51 GB |
| Inference Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Default |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
1406
263.1 IPS |
|
|
Image Classification (F16)
|
100% |
1754
328.2 IPS |
|
|
Image Classification (I8)
|
99% |
1750
327.5 IPS |
|
|
Image Segmentation (F32)
|
100% |
829
13.8 IPS |
|
|
Image Segmentation (F16)
|
100% |
824
13.8 IPS |
|
|
Image Segmentation (I8)
|
100% |
821
13.7 IPS |
|
|
Pose Estimation (F32)
|
100% |
5736
6.95 IPS |
|
|
Pose Estimation (F16)
|
100% |
13426
16.3 IPS |
|
|
Pose Estimation (I8)
|
100% |
13506
16.4 IPS |
|
|
Object Detection (F32)
|
100% |
1379
102.9 IPS |
|
|
Object Detection (F16)
|
100% |
1876
140.1 IPS |
|
|
Object Detection (I8)
|
97% |
1386
103.5 IPS |
|
|
Face Detection (F32)
|
100% |
2446
29.1 IPS |
|
|
Face Detection (F16)
|
97% |
3912
46.5 IPS |
|
|
Face Detection (I8)
|
97% |
3901
46.4 IPS |
|
|
Depth Estimation (F32)
|
100% |
4968
38.5 IPS |
|
|
Depth Estimation (F16)
|
100% |
8147
63.2 IPS |
|
|
Depth Estimation (I8)
|
99% |
8135
63.1 IPS |
|
|
Style Transfer (F32)
|
100% |
16312
21.5 IPS |
|
|
Style Transfer (F16)
|
100% |
25143
33.1 IPS |
|
|
Style Transfer (I8)
|
100% |
25107
33.0 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
3721
132.9 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
5006
178.8 IPS |
|
|
Image Super-Resolution (I8)
|
100% |
4924
175.8 IPS |
|
|
Text Classification (F32)
|
100% |
2209
3.17 KIPS |
|
|
Text Classification (F16)
|
100% |
3121
4.49 KIPS |
|
|
Text Classification (I8)
|
96% |
3109
4.47 KIPS |
|
|
Machine Translation (F32)
|
100% |
1148
21.1 IPS |
|
|
Machine Translation (F16)
|
100% |
1374
25.3 IPS |
|
|
Machine Translation (I8)
|
99% |
1104
20.3 IPS |
