iPhone 14
Geekbench ML Score
1931
Core ML CPU Inference Score
Geekbench ML 0.6.0 for iOS AArch64
Result Information
| Upload Date | November 19 2024 06:36 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% |
960
179.7 IPS |
|
|
Image Classification (F16)
|
100% |
907
169.7 IPS |
|
|
Image Classification (I8)
|
99% |
908
169.9 IPS |
|
|
Image Segmentation (F32)
|
100% |
639
10.7 IPS |
|
|
Image Segmentation (F16)
|
100% |
576
9.62 IPS |
|
|
Image Segmentation (I8)
|
100% |
572
9.55 IPS |
|
|
Pose Estimation (F32)
|
100% |
5456
6.61 IPS |
|
|
Pose Estimation (F16)
|
100% |
9588
11.6 IPS |
|
|
Pose Estimation (I8)
|
100% |
9585
11.6 IPS |
|
|
Object Detection (F32)
|
100% |
1017
76.0 IPS |
|
|
Object Detection (F16)
|
100% |
1053
78.6 IPS |
|
|
Object Detection (I8)
|
97% |
1058
79.0 IPS |
|
|
Face Detection (F32)
|
100% |
1770
21.0 IPS |
|
|
Face Detection (F16)
|
100% |
1619
19.3 IPS |
|
|
Face Detection (I8)
|
99% |
1606
19.1 IPS |
|
|
Depth Estimation (F32)
|
100% |
3274
25.4 IPS |
|
|
Depth Estimation (F16)
|
99% |
3672
28.5 IPS |
|
|
Depth Estimation (I8)
|
99% |
3650
28.3 IPS |
|
|
Style Transfer (F32)
|
100% |
9866
13.0 IPS |
|
|
Style Transfer (F16)
|
100% |
11732
15.4 IPS |
|
|
Style Transfer (I8)
|
100% |
11730
15.4 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
2382
85.1 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
2561
91.4 IPS |
|
|
Image Super-Resolution (I8)
|
100% |
2558
91.4 IPS |
|
|
Text Classification (F32)
|
100% |
990
1.42 KIPS |
|
|
Text Classification (F16)
|
100% |
473
679.1 IPS |
|
|
Text Classification (I8)
|
96% |
611
877.4 IPS |
|
|
Machine Translation (F32)
|
100% |
1358
25.0 IPS |
|
|
Machine Translation (F16)
|
99% |
1766
32.5 IPS |
|
|
Machine Translation (I8)
|
99% |
1365
25.1 IPS |
