iPhone 14
Geekbench ML Score
2248
Core ML GPU Inference Score
Geekbench ML 0.6.0 for iOS AArch64
Result Information
| Upload Date | January 22 2024 06:43 AM |
| Views | 1 |
System Information
| System Information | |
|---|---|
| Operating System | iOS 17.2.1 |
| 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 | 5.55 GB |
| Inference Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Default |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
665
124.5 IPS |
|
|
Image Classification (F16)
|
100% |
653
122.3 IPS |
|
|
Image Classification (I8)
|
99% |
979
183.3 IPS |
|
|
Image Segmentation (F32)
|
100% |
1219
20.4 IPS |
|
|
Image Segmentation (F16)
|
100% |
1221
20.4 IPS |
|
|
Image Segmentation (I8)
|
100% |
1186
19.8 IPS |
|
|
Pose Estimation (F32)
|
100% |
10630
12.9 IPS |
|
|
Pose Estimation (F16)
|
100% |
11651
14.1 IPS |
|
|
Pose Estimation (I8)
|
100% |
11490
13.9 IPS |
|
|
Object Detection (F32)
|
100% |
1242
92.8 IPS |
|
|
Object Detection (F16)
|
100% |
885
66.1 IPS |
|
|
Object Detection (I8)
|
97% |
924
69.0 IPS |
|
|
Face Detection (F32)
|
100% |
3653
43.4 IPS |
|
|
Face Detection (F16)
|
97% |
3325
39.5 IPS |
|
|
Face Detection (I8)
|
96% |
3766
44.8 IPS |
|
|
Depth Estimation (F32)
|
100% |
7660
59.4 IPS |
|
|
Depth Estimation (F16)
|
100% |
6937
53.8 IPS |
|
|
Depth Estimation (I8)
|
37% |
7422
57.6 IPS |
|
|
Style Transfer (F32)
|
100% |
18907
24.9 IPS |
|
|
Style Transfer (F16)
|
100% |
23438
30.8 IPS |
|
|
Style Transfer (I8)
|
100% |
23339
30.7 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
3637
129.9 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
3653
130.5 IPS |
|
|
Image Super-Resolution (I8)
|
100% |
3527
126.0 IPS |
|
|
Text Classification (F32)
|
100% |
385
553.2 IPS |
|
|
Text Classification (F16)
|
100% |
388
558.1 IPS |
|
|
Text Classification (I8)
|
96% |
232
333.5 IPS |
|
|
Machine Translation (F32)
|
100% |
473
8.71 IPS |
|
|
Machine Translation (F16)
|
100% |
494
9.09 IPS |
|
|
Machine Translation (I8)
|
99% |
469
8.63 IPS |
