iPhone 14 Pro
Geekbench AI Score
3531
Single Precision Score
6165
Half Precision Score
5025
Quantized Score
Geekbench AI 1.4.0 for iOS AArch64
Result Information
| Upload Date | July 01 2025 11:20 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% |
1433
266.4 IPS |
|
|
Image Classification (HP)
|
100% |
2546
473.4 IPS |
|
|
Image Classification (Q)
|
96% |
1750
326.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
1424
23.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
2117
34.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
2636
42.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
6762
7.89 IPS |
|
|
Pose Estimation (HP)
|
100% |
15216
17.8 IPS |
|
|
Pose Estimation (Q)
|
95% |
12950
15.2 IPS |
|
|
Object Detection (SP)
|
100% |
1569
124.5 IPS |
|
|
Object Detection (HP)
|
97% |
2911
231.7 IPS |
|
|
Object Detection (Q)
|
94% |
2061
164.3 IPS |
|
|
Face Detection (SP)
|
100% |
3111
37.0 IPS |
|
|
Face Detection (HP)
|
100% |
5983
71.1 IPS |
|
|
Face Detection (Q)
|
100% |
3451
41.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
6015
46.3 IPS |
|
|
Depth Estimation (HP)
|
98% |
11565
89.4 IPS |
|
|
Depth Estimation (Q)
|
85% |
7989
62.5 IPS |
|
|
Style Transfer (SP)
|
100% |
18481
23.8 IPS |
|
|
Style Transfer (HP)
|
100% |
29646
38.1 IPS |
|
|
Style Transfer (Q)
|
96% |
24449
31.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4059
149.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
5117
188.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3876
143.1 IPS |
|
|
Text Classification (SP)
|
100% |
2707
3.61 KIPS |
|
|
Text Classification (HP)
|
100% |
4759
6.35 KIPS |
|
|
Text Classification (Q)
|
93% |
4774
6.41 KIPS |
|
|
Machine Translation (SP)
|
100% |
3663
63.1 IPS |
|
|
Machine Translation (HP)
|
98% |
6660
115.1 IPS |
|
|
Machine Translation (Q)
|
98% |
6697
115.7 IPS |
