iPhone 14 Plus
Geekbench ML Score
1846
Core ML CPU Inference Score
Geekbench ML 0.6.0 for iOS AArch64
Result Information
| Upload Date | January 23 2024 11:58 PM |
| Views | 1 |
System Information
| System Information | |
|---|---|
| Operating System | iOS 17.3 |
| 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 | 5.53 GB |
| Inference Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Default |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
924
172.9 IPS |
|
|
Image Classification (F16)
|
100% |
925
173.1 IPS |
|
|
Image Classification (I8)
|
99% |
926
173.2 IPS |
|
|
Image Segmentation (F32)
|
100% |
524
8.76 IPS |
|
|
Image Segmentation (F16)
|
100% |
488
8.14 IPS |
|
|
Image Segmentation (I8)
|
100% |
487
8.14 IPS |
|
|
Pose Estimation (F32)
|
100% |
5627
6.81 IPS |
|
|
Pose Estimation (F16)
|
100% |
10481
12.7 IPS |
|
|
Pose Estimation (I8)
|
100% |
10597
12.8 IPS |
|
|
Object Detection (F32)
|
100% |
984
73.5 IPS |
|
|
Object Detection (F16)
|
100% |
1092
81.5 IPS |
|
|
Object Detection (I8)
|
97% |
993
74.1 IPS |
|
|
Face Detection (F32)
|
100% |
1737
20.6 IPS |
|
|
Face Detection (F16)
|
100% |
1629
19.4 IPS |
|
|
Face Detection (I8)
|
99% |
1632
19.4 IPS |
|
|
Depth Estimation (F32)
|
100% |
3396
26.3 IPS |
|
|
Depth Estimation (F16)
|
99% |
3839
29.8 IPS |
|
|
Depth Estimation (I8)
|
99% |
3831
29.7 IPS |
|
|
Style Transfer (F32)
|
100% |
10372
13.6 IPS |
|
|
Style Transfer (F16)
|
100% |
12349
16.2 IPS |
|
|
Style Transfer (I8)
|
100% |
12382
16.3 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
3133
111.9 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
2638
94.2 IPS |
|
|
Image Super-Resolution (I8)
|
100% |
2616
93.4 IPS |
|
|
Text Classification (F32)
|
100% |
950
1.37 KIPS |
|
|
Text Classification (F16)
|
100% |
579
832.7 IPS |
|
|
Text Classification (I8)
|
96% |
576
827.3 IPS |
|
|
Machine Translation (F32)
|
100% |
804
14.8 IPS |
|
|
Machine Translation (F16)
|
99% |
938
17.3 IPS |
|
|
Machine Translation (I8)
|
99% |
785
14.5 IPS |
