iPhone 14 Plus
Geekbench ML Score
5458
Core ML Neural Engine Inference Score
Geekbench ML 0.6.0 for iOS AArch64
Result Information
| Upload Date | June 11 2024 07:31 PM |
| Views | 1 |
System Information
| System Information | |
|---|---|
| Operating System | iOS 18.0 |
| 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 | 5.55 GB |
| Inference Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Default |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
1049
196.3 IPS |
|
|
Image Classification (F16)
|
100% |
3704
693.1 IPS |
|
|
Image Classification (I8)
|
99% |
4525
846.7 IPS |
|
|
Image Segmentation (F32)
|
100% |
1272
21.2 IPS |
|
|
Image Segmentation (F16)
|
100% |
1745
29.1 IPS |
|
|
Image Segmentation (I8)
|
100% |
1759
29.4 IPS |
|
|
Pose Estimation (F32)
|
100% |
10833
13.1 IPS |
|
|
Pose Estimation (F16)
|
100% |
76004
92.0 IPS |
|
|
Pose Estimation (I8)
|
100% |
71374
86.4 IPS |
|
|
Object Detection (F32)
|
100% |
1179
88.0 IPS |
|
|
Object Detection (F16)
|
100% |
3666
273.7 IPS |
|
|
Object Detection (I8)
|
97% |
1094
81.7 IPS |
|
|
Face Detection (F32)
|
100% |
3694
43.9 IPS |
|
|
Face Detection (F16)
|
97% |
11238
133.6 IPS |
|
|
Face Detection (I8)
|
96% |
11452
136.2 IPS |
|
|
Depth Estimation (F32)
|
100% |
7733
60.0 IPS |
|
|
Depth Estimation (F16)
|
100% |
32822
254.5 IPS |
|
|
Depth Estimation (I8)
|
37% |
32481
251.9 IPS |
|
|
Style Transfer (F32)
|
100% |
18985
25.0 IPS |
|
|
Style Transfer (F16)
|
100% |
93860
123.5 IPS |
|
|
Style Transfer (I8)
|
100% |
91281
120.1 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
3617
129.2 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
15402
550.1 IPS |
|
|
Image Super-Resolution (I8)
|
100% |
15896
567.7 IPS |
|
|
Text Classification (F32)
|
100% |
2207
3.17 KIPS |
|
|
Text Classification (F16)
|
100% |
2105
3.03 KIPS |
|
|
Text Classification (I8)
|
96% |
2394
3.44 KIPS |
|
|
Machine Translation (F32)
|
100% |
327
6.03 IPS |
|
|
Machine Translation (F16)
|
100% |
1119
20.6 IPS |
|
|
Machine Translation (I8)
|
99% |
295
5.43 IPS |
