iPhone 14 Pro
Geekbench AI Score
4172
Single Precision Score
4631
Half Precision Score
4347
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | September 21 2025 09:34 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple A16 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 26.0 |
| 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% |
1756
326.5 IPS |
|
|
Image Classification (HP)
|
100% |
1608
299.1 IPS |
|
|
Image Classification (Q)
|
96% |
1685
314.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
2862
46.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
3008
48.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
2894
46.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
11782
13.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
12901
15.1 IPS |
|
|
Pose Estimation (Q)
|
96% |
12248
14.3 IPS |
|
|
Object Detection (SP)
|
100% |
1917
152.1 IPS |
|
|
Object Detection (HP)
|
100% |
1922
152.4 IPS |
|
|
Object Detection (Q)
|
92% |
1755
140.1 IPS |
|
|
Face Detection (SP)
|
100% |
5498
65.3 IPS |
|
|
Face Detection (HP)
|
100% |
6455
76.7 IPS |
|
|
Face Detection (Q)
|
100% |
5273
62.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
8721
67.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
9379
72.3 IPS |
|
|
Depth Estimation (Q)
|
86% |
8492
66.3 IPS |
|
|
Style Transfer (SP)
|
100% |
21061
27.1 IPS |
|
|
Style Transfer (HP)
|
100% |
23930
30.8 IPS |
|
|
Style Transfer (Q)
|
96% |
23146
29.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4703
173.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4949
182.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4277
157.9 IPS |
|
|
Text Classification (SP)
|
100% |
2787
3.72 KIPS |
|
|
Text Classification (HP)
|
99% |
4756
6.35 KIPS |
|
|
Text Classification (Q)
|
93% |
4825
6.48 KIPS |
|
|
Machine Translation (SP)
|
100% |
1064
18.3 IPS |
|
|
Machine Translation (HP)
|
100% |
1110
19.1 IPS |
|
|
Machine Translation (Q)
|
98% |
1077
18.6 IPS |
