iPhone 14 Pro
Geekbench ML Score
2905
Core ML GPU Inference Score
Geekbench ML 0.6.0 for iOS AArch64
Result Information
| Upload Date | July 04 2024 07:25 AM |
| Views | 1 |
System Information
| System Information | |
|---|---|
| Operating System | iOS 17.5.1 |
| Model | iPhone 14 Pro |
| Model ID | iPhone15,2 |
| Motherboard | D73AP |
| CPU Information | |
|---|---|
| Name | Apple A16 Bionic |
| Topology | 1 Processor, 6 Cores |
| Identifier | ARM |
| Base Frequency | 3.46 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 | 5.50 GB |
| Inference Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Default |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
1673
313.1 IPS |
|
|
Image Classification (F16)
|
100% |
1434
268.2 IPS |
|
|
Image Classification (I8)
|
99% |
1415
264.7 IPS |
|
|
Image Segmentation (F32)
|
100% |
1221
20.4 IPS |
|
|
Image Segmentation (F16)
|
100% |
1261
21.1 IPS |
|
|
Image Segmentation (I8)
|
100% |
1262
21.1 IPS |
|
|
Pose Estimation (F32)
|
100% |
11318
13.7 IPS |
|
|
Pose Estimation (F16)
|
100% |
12187
14.8 IPS |
|
|
Pose Estimation (I8)
|
100% |
12113
14.7 IPS |
|
|
Object Detection (F32)
|
100% |
1834
137.0 IPS |
|
|
Object Detection (F16)
|
100% |
1461
109.1 IPS |
|
|
Object Detection (I8)
|
97% |
1432
106.9 IPS |
|
|
Face Detection (F32)
|
100% |
5130
61.0 IPS |
|
|
Face Detection (F16)
|
98% |
5598
66.6 IPS |
|
|
Face Detection (I8)
|
97% |
5440
64.7 IPS |
|
|
Depth Estimation (F32)
|
100% |
8985
69.7 IPS |
|
|
Depth Estimation (F16)
|
100% |
9693
75.2 IPS |
|
|
Depth Estimation (I8)
|
37% |
9006
69.8 IPS |
|
|
Style Transfer (F32)
|
100% |
20700
27.2 IPS |
|
|
Style Transfer (F16)
|
100% |
23048
30.3 IPS |
|
|
Style Transfer (I8)
|
100% |
23703
31.2 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
4426
158.1 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
4346
155.2 IPS |
|
|
Image Super-Resolution (I8)
|
100% |
4453
159.0 IPS |
|
|
Text Classification (F32)
|
100% |
384
551.8 IPS |
|
|
Text Classification (F16)
|
100% |
617
887.2 IPS |
|
|
Text Classification (I8)
|
96% |
286
411.0 IPS |
|
|
Machine Translation (F32)
|
100% |
620
11.4 IPS |
|
|
Machine Translation (F16)
|
100% |
638
11.7 IPS |
|
|
Machine Translation (I8)
|
99% |
586
10.8 IPS |
