iPhone 14
Geekbench ML Score
4882
Core ML Neural Engine Inference Score
Geekbench ML 0.6.0 for iOS AArch64
Result Information
| Upload Date | May 09 2024 04:35 AM |
| Views | 1 |
System Information
| System Information | |
|---|---|
| Operating System | iOS 17.4.1 |
| Model | iPhone 14 |
| Model ID | iPhone14,7 |
| Motherboard | D27AP |
| 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 | 5.54 GB |
| Inference Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Default |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
853
159.5 IPS |
|
|
Image Classification (F16)
|
100% |
5125
959.1 IPS |
|
|
Image Classification (I8)
|
99% |
5783
1.08 KIPS |
|
|
Image Segmentation (F32)
|
100% |
1295
21.6 IPS |
|
|
Image Segmentation (F16)
|
100% |
1711
28.6 IPS |
|
|
Image Segmentation (I8)
|
100% |
1739
29.0 IPS |
|
|
Pose Estimation (F32)
|
100% |
11122
13.5 IPS |
|
|
Pose Estimation (F16)
|
100% |
74225
89.9 IPS |
|
|
Pose Estimation (I8)
|
100% |
76366
92.5 IPS |
|
|
Object Detection (F32)
|
100% |
1205
89.9 IPS |
|
|
Object Detection (F16)
|
100% |
3486
260.3 IPS |
|
|
Object Detection (I8)
|
97% |
1103
82.4 IPS |
|
|
Face Detection (F32)
|
100% |
4340
51.6 IPS |
|
|
Face Detection (F16)
|
97% |
9752
115.9 IPS |
|
|
Face Detection (I8)
|
96% |
9768
116.1 IPS |
|
|
Depth Estimation (F32)
|
100% |
7964
61.8 IPS |
|
|
Depth Estimation (F16)
|
100% |
32330
250.7 IPS |
|
|
Depth Estimation (I8)
|
37% |
32627
253.0 IPS |
|
|
Style Transfer (F32)
|
100% |
19066
25.1 IPS |
|
|
Style Transfer (F16)
|
100% |
100666
132.4 IPS |
|
|
Style Transfer (I8)
|
100% |
94369
124.1 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
3738
133.5 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
13603
485.8 IPS |
|
|
Image Super-Resolution (I8)
|
100% |
13980
499.3 IPS |
|
|
Text Classification (F32)
|
100% |
368
529.0 IPS |
|
|
Text Classification (F16)
|
100% |
833
1.20 KIPS |
|
|
Text Classification (I8)
|
96% |
390
560.0 IPS |
|
|
Machine Translation (F32)
|
100% |
498
9.16 IPS |
|
|
Machine Translation (F16)
|
100% |
1234
22.7 IPS |
|
|
Machine Translation (I8)
|
99% |
488
8.99 IPS |
