iPhone 14 Pro
Geekbench AI Score
3496
Single Precision Score
6176
Half Precision Score
5020
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| Upload Date | July 01 2025 04:13 PM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple A16 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 18.5 |
| 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% |
1370
254.8 IPS |
|
|
Image Classification (HP)
|
100% |
2508
466.5 IPS |
|
|
Image Classification (Q)
|
96% |
1736
324.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
1429
23.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
2114
34.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
2641
42.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
6992
8.16 IPS |
|
|
Pose Estimation (HP)
|
100% |
15468
18.0 IPS |
|
|
Pose Estimation (Q)
|
95% |
13235
15.5 IPS |
|
|
Object Detection (SP)
|
100% |
1568
124.4 IPS |
|
|
Object Detection (HP)
|
97% |
2906
231.3 IPS |
|
|
Object Detection (Q)
|
94% |
2059
164.1 IPS |
|
|
Face Detection (SP)
|
100% |
2995
35.6 IPS |
|
|
Face Detection (HP)
|
100% |
5991
71.2 IPS |
|
|
Face Detection (Q)
|
100% |
3458
41.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
6168
47.5 IPS |
|
|
Depth Estimation (HP)
|
98% |
11504
88.9 IPS |
|
|
Depth Estimation (Q)
|
85% |
7936
62.0 IPS |
|
|
Style Transfer (SP)
|
100% |
18630
23.9 IPS |
|
|
Style Transfer (HP)
|
100% |
29721
38.2 IPS |
|
|
Style Transfer (Q)
|
96% |
24396
31.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3890
143.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
5216
192.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3868
142.8 IPS |
|
|
Text Classification (SP)
|
100% |
2672
3.57 KIPS |
|
|
Text Classification (HP)
|
100% |
4773
6.37 KIPS |
|
|
Text Classification (Q)
|
93% |
4742
6.36 KIPS |
|
|
Machine Translation (SP)
|
100% |
3556
61.3 IPS |
|
|
Machine Translation (HP)
|
98% |
6649
114.9 IPS |
|
|
Machine Translation (Q)
|
98% |
6627
114.5 IPS |
