iPhone 14
Geekbench ML Score
1912
Core ML CPU Inference Score
Geekbench ML 0.6.0 for iOS AArch64
Result Information
| Upload Date | December 24 2024 08:15 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% |
956
179.0 IPS |
|
|
Image Classification (F16)
|
100% |
908
170.0 IPS |
|
|
Image Classification (I8)
|
99% |
916
171.4 IPS |
|
|
Image Segmentation (F32)
|
100% |
610
10.2 IPS |
|
|
Image Segmentation (F16)
|
100% |
559
9.33 IPS |
|
|
Image Segmentation (I8)
|
100% |
540
9.02 IPS |
|
|
Pose Estimation (F32)
|
100% |
5469
6.62 IPS |
|
|
Pose Estimation (F16)
|
100% |
9647
11.7 IPS |
|
|
Pose Estimation (I8)
|
100% |
9577
11.6 IPS |
|
|
Object Detection (F32)
|
100% |
1024
76.4 IPS |
|
|
Object Detection (F16)
|
100% |
1045
78.0 IPS |
|
|
Object Detection (I8)
|
97% |
1027
76.7 IPS |
|
|
Face Detection (F32)
|
100% |
1732
20.6 IPS |
|
|
Face Detection (F16)
|
100% |
1579
18.8 IPS |
|
|
Face Detection (I8)
|
99% |
1573
18.7 IPS |
|
|
Depth Estimation (F32)
|
100% |
3268
25.3 IPS |
|
|
Depth Estimation (F16)
|
99% |
3593
27.9 IPS |
|
|
Depth Estimation (I8)
|
99% |
3620
28.1 IPS |
|
|
Style Transfer (F32)
|
100% |
9789
12.9 IPS |
|
|
Style Transfer (F16)
|
100% |
11758
15.5 IPS |
|
|
Style Transfer (I8)
|
100% |
11675
15.4 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
2429
86.7 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
2557
91.3 IPS |
|
|
Image Super-Resolution (I8)
|
100% |
2572
91.8 IPS |
|
|
Text Classification (F32)
|
100% |
988
1.42 KIPS |
|
|
Text Classification (F16)
|
100% |
467
671.4 IPS |
|
|
Text Classification (I8)
|
96% |
611
877.8 IPS |
|
|
Machine Translation (F32)
|
100% |
1357
25.0 IPS |
|
|
Machine Translation (F16)
|
99% |
1735
31.9 IPS |
|
|
Machine Translation (I8)
|
99% |
1328
24.4 IPS |
