iPhone 14 Plus
Geekbench ML Score
2462
Core ML GPU Inference Score
Geekbench ML 0.6.0 for iOS AArch64
Result Information
| Upload Date | August 30 2024 12:28 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 | GPU |
| Device | Default |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
681
127.4 IPS |
|
|
Image Classification (F16)
|
100% |
1111
207.9 IPS |
|
|
Image Classification (I8)
|
99% |
1047
195.9 IPS |
|
|
Image Segmentation (F32)
|
100% |
1288
21.5 IPS |
|
|
Image Segmentation (F16)
|
100% |
1362
22.7 IPS |
|
|
Image Segmentation (I8)
|
100% |
1302
21.7 IPS |
|
|
Pose Estimation (F32)
|
100% |
10619
12.9 IPS |
|
|
Pose Estimation (F16)
|
100% |
11943
14.5 IPS |
|
|
Pose Estimation (I8)
|
100% |
11702
14.2 IPS |
|
|
Object Detection (F32)
|
100% |
1210
90.3 IPS |
|
|
Object Detection (F16)
|
100% |
1096
81.8 IPS |
|
|
Object Detection (I8)
|
97% |
1046
78.1 IPS |
|
|
Face Detection (F32)
|
100% |
4158
49.4 IPS |
|
|
Face Detection (F16)
|
98% |
5235
62.3 IPS |
|
|
Face Detection (I8)
|
97% |
5019
59.7 IPS |
|
|
Depth Estimation (F32)
|
100% |
8419
65.3 IPS |
|
|
Depth Estimation (F16)
|
100% |
8799
68.2 IPS |
|
|
Depth Estimation (I8)
|
37% |
8381
65.0 IPS |
|
|
Style Transfer (F32)
|
100% |
18897
24.9 IPS |
|
|
Style Transfer (F16)
|
100% |
23579
31.0 IPS |
|
|
Style Transfer (I8)
|
100% |
23592
31.0 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
3634
129.8 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
3729
133.2 IPS |
|
|
Image Super-Resolution (I8)
|
100% |
3582
127.9 IPS |
|
|
Text Classification (F32)
|
100% |
369
530.5 IPS |
|
|
Text Classification (F16)
|
100% |
370
532.1 IPS |
|
|
Text Classification (I8)
|
96% |
230
331.1 IPS |
|
|
Machine Translation (F32)
|
100% |
511
9.40 IPS |
|
|
Machine Translation (F16)
|
100% |
523
9.63 IPS |
|
|
Machine Translation (I8)
|
99% |
508
9.35 IPS |
