iPhone 14 Plus
Geekbench ML Score
2412
Core ML GPU Inference Score
Geekbench ML 0.6.0 for iOS AArch64
Result Information
| Upload Date | August 17 2024 11:28 AM |
| 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% |
763
142.8 IPS |
|
|
Image Classification (F16)
|
100% |
696
130.3 IPS |
|
|
Image Classification (I8)
|
99% |
848
158.8 IPS |
|
|
Image Segmentation (F32)
|
100% |
1311
21.9 IPS |
|
|
Image Segmentation (F16)
|
100% |
1331
22.2 IPS |
|
|
Image Segmentation (I8)
|
100% |
1336
22.3 IPS |
|
|
Pose Estimation (F32)
|
100% |
10941
13.2 IPS |
|
|
Pose Estimation (F16)
|
100% |
11934
14.5 IPS |
|
|
Pose Estimation (I8)
|
100% |
11724
14.2 IPS |
|
|
Object Detection (F32)
|
100% |
1211
90.4 IPS |
|
|
Object Detection (F16)
|
100% |
1114
83.1 IPS |
|
|
Object Detection (I8)
|
97% |
1030
76.9 IPS |
|
|
Face Detection (F32)
|
100% |
3483
41.4 IPS |
|
|
Face Detection (F16)
|
98% |
5249
62.4 IPS |
|
|
Face Detection (I8)
|
97% |
5464
65.0 IPS |
|
|
Depth Estimation (F32)
|
100% |
8402
65.2 IPS |
|
|
Depth Estimation (F16)
|
100% |
9089
70.5 IPS |
|
|
Depth Estimation (I8)
|
37% |
8313
64.5 IPS |
|
|
Style Transfer (F32)
|
100% |
18850
24.8 IPS |
|
|
Style Transfer (F16)
|
100% |
23439
30.8 IPS |
|
|
Style Transfer (I8)
|
100% |
23542
31.0 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
3769
134.6 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
3706
132.3 IPS |
|
|
Image Super-Resolution (I8)
|
100% |
3576
127.7 IPS |
|
|
Text Classification (F32)
|
100% |
368
529.3 IPS |
|
|
Text Classification (F16)
|
100% |
369
530.5 IPS |
|
|
Text Classification (I8)
|
96% |
231
331.9 IPS |
|
|
Machine Translation (F32)
|
100% |
481
8.85 IPS |
|
|
Machine Translation (F16)
|
100% |
525
9.66 IPS |
|
|
Machine Translation (I8)
|
99% |
509
9.37 IPS |
