iPhone 14
Geekbench ML Score
4804
Core ML Neural Engine Inference Score
Geekbench ML 0.6.0 for iOS AArch64
Result Information
| Upload Date | July 26 2024 02:35 PM |
| Views | 1 |
System Information
| System Information | |
|---|---|
| Operating System | iOS 17.5.1 |
| 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% |
649
121.5 IPS |
|
|
Image Classification (F16)
|
100% |
4972
930.3 IPS |
|
|
Image Classification (I8)
|
99% |
5671
1.06 KIPS |
|
|
Image Segmentation (F32)
|
100% |
1290
21.6 IPS |
|
|
Image Segmentation (F16)
|
100% |
1738
29.0 IPS |
|
|
Image Segmentation (I8)
|
100% |
1714
28.6 IPS |
|
|
Pose Estimation (F32)
|
100% |
10950
13.3 IPS |
|
|
Pose Estimation (F16)
|
100% |
73791
89.4 IPS |
|
|
Pose Estimation (I8)
|
100% |
70667
85.6 IPS |
|
|
Object Detection (F32)
|
100% |
1152
86.0 IPS |
|
|
Object Detection (F16)
|
100% |
3428
255.9 IPS |
|
|
Object Detection (I8)
|
97% |
1027
76.7 IPS |
|
|
Face Detection (F32)
|
100% |
4451
52.9 IPS |
|
|
Face Detection (F16)
|
97% |
9719
115.6 IPS |
|
|
Face Detection (I8)
|
96% |
9782
116.3 IPS |
|
|
Depth Estimation (F32)
|
100% |
8494
65.9 IPS |
|
|
Depth Estimation (F16)
|
100% |
32263
250.2 IPS |
|
|
Depth Estimation (I8)
|
37% |
33823
262.3 IPS |
|
|
Style Transfer (F32)
|
100% |
18959
24.9 IPS |
|
|
Style Transfer (F16)
|
100% |
97479
128.2 IPS |
|
|
Style Transfer (I8)
|
100% |
98455
129.5 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
3636
129.9 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
14357
512.7 IPS |
|
|
Image Super-Resolution (I8)
|
100% |
15222
543.6 IPS |
|
|
Text Classification (F32)
|
100% |
356
511.6 IPS |
|
|
Text Classification (F16)
|
100% |
814
1.17 KIPS |
|
|
Text Classification (I8)
|
96% |
374
537.8 IPS |
|
|
Machine Translation (F32)
|
100% |
478
8.79 IPS |
|
|
Machine Translation (F16)
|
100% |
1233
22.7 IPS |
|
|
Machine Translation (I8)
|
99% |
476
8.75 IPS |
