iPhone 14
Geekbench ML Score
1868
Core ML CPU Inference Score
Geekbench ML 0.6.0 for iOS AArch64
Result Information
| Upload Date | October 20 2024 08:02 PM |
| Views | 3 |
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% |
946
177.0 IPS |
|
|
Image Classification (F16)
|
100% |
910
170.2 IPS |
|
|
Image Classification (I8)
|
99% |
914
170.9 IPS |
|
|
Image Segmentation (F32)
|
100% |
614
10.2 IPS |
|
|
Image Segmentation (F16)
|
100% |
540
9.02 IPS |
|
|
Image Segmentation (I8)
|
100% |
536
8.95 IPS |
|
|
Pose Estimation (F32)
|
100% |
5208
6.31 IPS |
|
|
Pose Estimation (F16)
|
100% |
9631
11.7 IPS |
|
|
Pose Estimation (I8)
|
100% |
9410
11.4 IPS |
|
|
Object Detection (F32)
|
100% |
1010
75.4 IPS |
|
|
Object Detection (F16)
|
100% |
1008
75.2 IPS |
|
|
Object Detection (I8)
|
97% |
989
73.9 IPS |
|
|
Face Detection (F32)
|
100% |
1656
19.7 IPS |
|
|
Face Detection (F16)
|
100% |
1487
17.7 IPS |
|
|
Face Detection (I8)
|
99% |
1489
17.7 IPS |
|
|
Depth Estimation (F32)
|
100% |
3039
23.6 IPS |
|
|
Depth Estimation (F16)
|
99% |
3498
27.1 IPS |
|
|
Depth Estimation (I8)
|
99% |
3407
26.4 IPS |
|
|
Style Transfer (F32)
|
100% |
9529
12.5 IPS |
|
|
Style Transfer (F16)
|
100% |
11216
14.8 IPS |
|
|
Style Transfer (I8)
|
100% |
11157
14.7 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
2351
84.0 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
2519
90.0 IPS |
|
|
Image Super-Resolution (I8)
|
100% |
2531
90.4 IPS |
|
|
Text Classification (F32)
|
100% |
991
1.42 KIPS |
|
|
Text Classification (F16)
|
100% |
464
666.4 IPS |
|
|
Text Classification (I8)
|
96% |
651
935.3 IPS |
|
|
Machine Translation (F32)
|
100% |
1334
24.6 IPS |
|
|
Machine Translation (F16)
|
99% |
1699
31.3 IPS |
|
|
Machine Translation (I8)
|
99% |
1311
24.1 IPS |
