iPhone 14
Geekbench ML Score
2473
Core ML GPU Inference Score
Geekbench ML 0.6.0 for iOS AArch64
Result Information
| Upload Date | December 06 2024 01:45 AM |
| Views | 1 |
System Information
| System Information | |
|---|---|
| Operating System | iOS 16.5.1 |
| 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 | GPU |
| Device | Default |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
1297
242.7 IPS |
|
|
Image Classification (F16)
|
100% |
1248
233.5 IPS |
|
|
Image Classification (I8)
|
99% |
1253
234.4 IPS |
|
|
Image Segmentation (F32)
|
100% |
568
9.49 IPS |
|
|
Image Segmentation (F16)
|
100% |
561
9.36 IPS |
|
|
Image Segmentation (I8)
|
100% |
569
9.50 IPS |
|
|
Pose Estimation (F32)
|
100% |
11068
13.4 IPS |
|
|
Pose Estimation (F16)
|
100% |
12226
14.8 IPS |
|
|
Pose Estimation (I8)
|
100% |
12207
14.8 IPS |
|
|
Object Detection (F32)
|
100% |
1006
75.1 IPS |
|
|
Object Detection (F16)
|
100% |
915
68.3 IPS |
|
|
Object Detection (I8)
|
97% |
1352
101.0 IPS |
|
|
Face Detection (F32)
|
100% |
4662
55.4 IPS |
|
|
Face Detection (F16)
|
97% |
4338
51.6 IPS |
|
|
Face Detection (I8)
|
96% |
4288
51.0 IPS |
|
|
Depth Estimation (F32)
|
100% |
8549
66.3 IPS |
|
|
Depth Estimation (F16)
|
100% |
9218
71.5 IPS |
|
|
Depth Estimation (I8)
|
99% |
9071
70.3 IPS |
|
|
Style Transfer (F32)
|
100% |
18994
25.0 IPS |
|
|
Style Transfer (F16)
|
100% |
23445
30.8 IPS |
|
|
Style Transfer (I8)
|
100% |
23473
30.9 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
3794
135.5 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
3329
118.9 IPS |
|
|
Image Super-Resolution (I8)
|
100% |
3797
135.6 IPS |
|
|
Text Classification (F32)
|
100% |
421
604.7 IPS |
|
|
Text Classification (F16)
|
100% |
411
591.3 IPS |
|
|
Text Classification (I8)
|
96% |
411
590.6 IPS |
|
|
Machine Translation (F32)
|
100% |
737
13.6 IPS |
|
|
Machine Translation (F16)
|
100% |
736
13.5 IPS |
|
|
Machine Translation (I8)
|
99% |
693
12.8 IPS |
