iPhone 14 Pro
Geekbench ML Score
2706
Core ML GPU Inference Score
Geekbench ML 0.6.0 for iOS AArch64
Result Information
| User | morglor |
| Upload Date | April 03 2024 02:44 AM |
| Views | 4 |
System Information
| System Information | |
|---|---|
| Operating System | iOS 17.4.1 |
| 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% |
1051
196.6 IPS |
|
|
Image Classification (F16)
|
100% |
1122
209.9 IPS |
|
|
Image Classification (I8)
|
99% |
1354
253.4 IPS |
|
|
Image Segmentation (F32)
|
100% |
1197
20.0 IPS |
|
|
Image Segmentation (F16)
|
100% |
1253
20.9 IPS |
|
|
Image Segmentation (I8)
|
100% |
1261
21.1 IPS |
|
|
Pose Estimation (F32)
|
100% |
11399
13.8 IPS |
|
|
Pose Estimation (F16)
|
100% |
12130
14.7 IPS |
|
|
Pose Estimation (I8)
|
100% |
11951
14.5 IPS |
|
|
Object Detection (F32)
|
100% |
1452
108.4 IPS |
|
|
Object Detection (F16)
|
100% |
1444
107.8 IPS |
|
|
Object Detection (I8)
|
97% |
1385
103.4 IPS |
|
|
Face Detection (F32)
|
100% |
4867
57.9 IPS |
|
|
Face Detection (F16)
|
98% |
5621
66.8 IPS |
|
|
Face Detection (I8)
|
97% |
5472
65.1 IPS |
|
|
Depth Estimation (F32)
|
100% |
8799
68.2 IPS |
|
|
Depth Estimation (F16)
|
100% |
9181
71.2 IPS |
|
|
Depth Estimation (I8)
|
37% |
8629
66.9 IPS |
|
|
Style Transfer (F32)
|
100% |
20970
27.6 IPS |
|
|
Style Transfer (F16)
|
100% |
22427
29.5 IPS |
|
|
Style Transfer (I8)
|
100% |
23319
30.7 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
4402
157.2 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
4342
155.1 IPS |
|
|
Image Super-Resolution (I8)
|
100% |
4251
151.8 IPS |
|
|
Text Classification (F32)
|
100% |
365
524.8 IPS |
|
|
Text Classification (F16)
|
100% |
358
514.7 IPS |
|
|
Text Classification (I8)
|
96% |
236
339.0 IPS |
|
|
Machine Translation (F32)
|
100% |
608
11.2 IPS |
|
|
Machine Translation (F16)
|
100% |
628
11.5 IPS |
|
|
Machine Translation (I8)
|
99% |
591
10.9 IPS |
