iPhone 14 Pro
Geekbench AI Score
3526
Single Precision Score
6054
Half Precision Score
4896
Quantized Score
Geekbench AI 1.1.0 for iOS AArch64
Result Information
| User | furunos |
| Upload Date | September 29 2024 01:26 PM |
| Views | 11 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple A16 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 18.0 |
| 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 |
| Memory Information | |
|---|---|
| Size | 5.53 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1456
270.8 IPS |
|
|
Image Classification (HP)
|
100% |
2555
475.2 IPS |
|
|
Image Classification (Q)
|
96% |
1758
328.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
1507
24.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
2248
36.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
2685
43.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
6545
7.64 IPS |
|
|
Pose Estimation (HP)
|
100% |
14632
17.1 IPS |
|
|
Pose Estimation (Q)
|
95% |
12483
14.6 IPS |
|
|
Object Detection (SP)
|
100% |
1554
123.2 IPS |
|
|
Object Detection (HP)
|
97% |
2932
233.4 IPS |
|
|
Object Detection (Q)
|
94% |
2050
163.4 IPS |
|
|
Face Detection (SP)
|
100% |
3162
37.6 IPS |
|
|
Face Detection (HP)
|
100% |
6037
71.7 IPS |
|
|
Face Detection (Q)
|
100% |
3450
41.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
6163
47.5 IPS |
|
|
Depth Estimation (HP)
|
98% |
12111
93.6 IPS |
|
|
Depth Estimation (Q)
|
85% |
8133
63.6 IPS |
|
|
Style Transfer (SP)
|
100% |
18368
23.6 IPS |
|
|
Style Transfer (HP)
|
100% |
28248
36.3 IPS |
|
|
Style Transfer (Q)
|
96% |
23534
30.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4120
152.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4881
180.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3701
136.6 IPS |
|
|
Text Classification (SP)
|
100% |
2608
3.48 KIPS |
|
|
Text Classification (HP)
|
100% |
4596
6.13 KIPS |
|
|
Text Classification (Q)
|
93% |
4618
6.20 KIPS |
|
|
Machine Translation (SP)
|
100% |
3466
59.7 IPS |
|
|
Machine Translation (HP)
|
98% |
5801
100.2 IPS |
|
|
Machine Translation (Q)
|
98% |
5808
100.4 IPS |
