iPhone 14 Pro
Geekbench AI Score
3899
Single Precision Score
4297
Half Precision Score
3793
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| User | werfree |
| Upload Date | February 17 2025 08:54 PM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple A16 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 18.3.1 |
| 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 |
| Memory Information | |
|---|---|
| Size | 5.53 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1584
294.6 IPS |
|
|
Image Classification (HP)
|
100% |
1556
289.4 IPS |
|
|
Image Classification (Q)
|
97% |
1466
273.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
2326
37.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
2533
41.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
2474
40.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
11776
13.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
12354
14.4 IPS |
|
|
Pose Estimation (Q)
|
95% |
11496
13.5 IPS |
|
|
Object Detection (SP)
|
100% |
1943
154.1 IPS |
|
|
Object Detection (HP)
|
100% |
1927
152.8 IPS |
|
|
Object Detection (Q)
|
91% |
1603
128.1 IPS |
|
|
Face Detection (SP)
|
100% |
5270
62.6 IPS |
|
|
Face Detection (HP)
|
100% |
6030
71.6 IPS |
|
|
Face Detection (Q)
|
100% |
4042
48.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
8539
65.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
8838
68.1 IPS |
|
|
Depth Estimation (Q)
|
85% |
7374
57.6 IPS |
|
|
Style Transfer (SP)
|
100% |
21291
27.4 IPS |
|
|
Style Transfer (HP)
|
100% |
23760
30.5 IPS |
|
|
Style Transfer (Q)
|
96% |
22267
28.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4868
179.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4844
178.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3790
139.9 IPS |
|
|
Text Classification (SP)
|
100% |
2627
3.51 KIPS |
|
|
Text Classification (HP)
|
100% |
4644
6.20 KIPS |
|
|
Text Classification (Q)
|
93% |
4596
6.17 KIPS |
|
|
Machine Translation (SP)
|
100% |
788
13.6 IPS |
|
|
Machine Translation (HP)
|
100% |
803
13.8 IPS |
|
|
Machine Translation (Q)
|
98% |
798
13.8 IPS |
