iPhone 14
Geekbench ML Score
1931
Core ML CPU Inference Score
Geekbench ML 0.6.0 for iOS AArch64
Result Information
| Upload Date | November 15 2024 09:35 PM |
| Views | 4 |
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% |
913
170.9 IPS |
|
|
Image Classification (I8)
|
99% |
913
170.9 IPS |
|
|
Image Segmentation (F32)
|
100% |
631
10.5 IPS |
|
|
Image Segmentation (F16)
|
100% |
571
9.54 IPS |
|
|
Image Segmentation (I8)
|
100% |
570
9.52 IPS |
|
|
Pose Estimation (F32)
|
100% |
5476
6.63 IPS |
|
|
Pose Estimation (F16)
|
100% |
9640
11.7 IPS |
|
|
Pose Estimation (I8)
|
100% |
9592
11.6 IPS |
|
|
Object Detection (F32)
|
100% |
1063
79.4 IPS |
|
|
Object Detection (F16)
|
100% |
1038
77.5 IPS |
|
|
Object Detection (I8)
|
97% |
1031
77.0 IPS |
|
|
Face Detection (F32)
|
100% |
1761
20.9 IPS |
|
|
Face Detection (F16)
|
100% |
1615
19.2 IPS |
|
|
Face Detection (I8)
|
99% |
1608
19.1 IPS |
|
|
Depth Estimation (F32)
|
100% |
3256
25.2 IPS |
|
|
Depth Estimation (F16)
|
99% |
3683
28.6 IPS |
|
|
Depth Estimation (I8)
|
99% |
3649
28.3 IPS |
|
|
Style Transfer (F32)
|
100% |
9939
13.1 IPS |
|
|
Style Transfer (F16)
|
100% |
11685
15.4 IPS |
|
|
Style Transfer (I8)
|
100% |
11748
15.5 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
2418
86.3 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
2557
91.3 IPS |
|
|
Image Super-Resolution (I8)
|
100% |
2554
91.2 IPS |
|
|
Text Classification (F32)
|
100% |
999
1.44 KIPS |
|
|
Text Classification (F16)
|
100% |
464
667.4 IPS |
|
|
Text Classification (I8)
|
96% |
619
890.2 IPS |
|
|
Machine Translation (F32)
|
100% |
1356
25.0 IPS |
|
|
Machine Translation (F16)
|
99% |
1761
32.4 IPS |
|
|
Machine Translation (I8)
|
99% |
1349
24.8 IPS |
