iPhone 14
Geekbench ML Score
1859
Core ML CPU Inference Score
Geekbench ML 0.6.0 for iOS AArch64
Result Information
| Upload Date | May 08 2024 06:19 PM |
| Views | 1 |
System Information
| System Information | |
|---|---|
| Operating System | iOS 16.3.1 |
| 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 | 5.56 GB |
| Inference Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Default |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
961
179.8 IPS |
|
|
Image Classification (F16)
|
100% |
880
164.6 IPS |
|
|
Image Classification (I8)
|
99% |
881
164.9 IPS |
|
|
Image Segmentation (F32)
|
100% |
593
9.90 IPS |
|
|
Image Segmentation (F16)
|
100% |
530
8.85 IPS |
|
|
Image Segmentation (I8)
|
100% |
532
8.88 IPS |
|
|
Pose Estimation (F32)
|
100% |
5286
6.40 IPS |
|
|
Pose Estimation (F16)
|
100% |
9335
11.3 IPS |
|
|
Pose Estimation (I8)
|
100% |
9450
11.4 IPS |
|
|
Object Detection (F32)
|
100% |
1028
76.8 IPS |
|
|
Object Detection (F16)
|
100% |
1025
76.5 IPS |
|
|
Object Detection (I8)
|
97% |
1041
77.7 IPS |
|
|
Face Detection (F32)
|
100% |
1667
19.8 IPS |
|
|
Face Detection (F16)
|
100% |
1489
17.7 IPS |
|
|
Face Detection (I8)
|
99% |
1479
17.6 IPS |
|
|
Depth Estimation (F32)
|
100% |
3103
24.1 IPS |
|
|
Depth Estimation (F16)
|
99% |
3525
27.3 IPS |
|
|
Depth Estimation (I8)
|
99% |
3433
26.6 IPS |
|
|
Style Transfer (F32)
|
100% |
9419
12.4 IPS |
|
|
Style Transfer (F16)
|
100% |
11036
14.5 IPS |
|
|
Style Transfer (I8)
|
100% |
10963
14.4 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
2296
82.0 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
2562
91.5 IPS |
|
|
Image Super-Resolution (I8)
|
100% |
2526
90.2 IPS |
|
|
Text Classification (F32)
|
100% |
994
1.43 KIPS |
|
|
Text Classification (F16)
|
100% |
480
690.5 IPS |
|
|
Text Classification (I8)
|
96% |
612
879.0 IPS |
|
|
Machine Translation (F32)
|
100% |
1297
23.9 IPS |
|
|
Machine Translation (F16)
|
99% |
1664
30.6 IPS |
|
|
Machine Translation (I8)
|
99% |
1286
23.7 IPS |
