iPhone 14 Plus
Geekbench ML Score
4954
Core ML Neural Engine Inference Score
Geekbench ML 0.6.0 for iOS AArch64
Result Information
| Upload Date | January 24 2024 12:08 AM |
| 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 | Neural Engine |
| Device | Default |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
1215
227.4 IPS |
|
|
Image Classification (F16)
|
100% |
5017
938.9 IPS |
|
|
Image Classification (I8)
|
99% |
4949
926.0 IPS |
|
|
Image Segmentation (F32)
|
100% |
1256
21.0 IPS |
|
|
Image Segmentation (F16)
|
100% |
1737
29.0 IPS |
|
|
Image Segmentation (I8)
|
100% |
1720
28.7 IPS |
|
|
Pose Estimation (F32)
|
100% |
10958
13.3 IPS |
|
|
Pose Estimation (F16)
|
100% |
74072
89.7 IPS |
|
|
Pose Estimation (I8)
|
100% |
72965
88.4 IPS |
|
|
Object Detection (F32)
|
100% |
1175
87.7 IPS |
|
|
Object Detection (F16)
|
100% |
4084
304.9 IPS |
|
|
Object Detection (I8)
|
97% |
935
69.8 IPS |
|
|
Face Detection (F32)
|
100% |
3307
39.3 IPS |
|
|
Face Detection (F16)
|
97% |
11044
131.3 IPS |
|
|
Face Detection (I8)
|
96% |
10312
122.6 IPS |
|
|
Depth Estimation (F32)
|
100% |
7261
56.3 IPS |
|
|
Depth Estimation (F16)
|
100% |
31276
242.5 IPS |
|
|
Depth Estimation (I8)
|
37% |
37440
290.3 IPS |
|
|
Style Transfer (F32)
|
100% |
19060
25.1 IPS |
|
|
Style Transfer (F16)
|
100% |
100934
132.8 IPS |
|
|
Style Transfer (I8)
|
100% |
98438
129.5 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
3559
127.1 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
15518
554.2 IPS |
|
|
Image Super-Resolution (I8)
|
100% |
14183
506.5 IPS |
|
|
Text Classification (F32)
|
100% |
399
573.2 IPS |
|
|
Text Classification (F16)
|
100% |
929
1.33 KIPS |
|
|
Text Classification (I8)
|
96% |
377
541.8 IPS |
|
|
Machine Translation (F32)
|
100% |
528
9.71 IPS |
|
|
Machine Translation (F16)
|
100% |
1353
24.9 IPS |
|
|
Machine Translation (I8)
|
99% |
496
9.12 IPS |
