iPhone 14 Pro
Geekbench AI Score
4148
Single Precision Score
4656
Half Precision Score
4318
Quantized Score
Geekbench AI 1.6.0 Corporate for iOS AArch64
Result Information
| Upload Date | December 02 2025 05:55 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple A16 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 18.6.2 |
| 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% |
1592
296.1 IPS |
|
|
Image Classification (HP)
|
100% |
1539
286.3 IPS |
|
|
Image Classification (Q)
|
96% |
1498
279.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
2802
45.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
2961
48.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
2832
45.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
11616
13.6 IPS |
|
|
Pose Estimation (HP)
|
100% |
12756
14.9 IPS |
|
|
Pose Estimation (Q)
|
96% |
12344
14.5 IPS |
|
|
Object Detection (SP)
|
100% |
1905
151.1 IPS |
|
|
Object Detection (HP)
|
100% |
1922
152.5 IPS |
|
|
Object Detection (Q)
|
92% |
1723
137.6 IPS |
|
|
Face Detection (SP)
|
100% |
5290
62.9 IPS |
|
|
Face Detection (HP)
|
100% |
6378
75.8 IPS |
|
|
Face Detection (Q)
|
100% |
5345
63.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
8677
66.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
9440
72.7 IPS |
|
|
Depth Estimation (Q)
|
86% |
8308
64.9 IPS |
|
|
Style Transfer (SP)
|
100% |
20705
26.6 IPS |
|
|
Style Transfer (HP)
|
100% |
23777
30.6 IPS |
|
|
Style Transfer (Q)
|
96% |
22931
29.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4589
169.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4918
181.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4163
153.7 IPS |
|
|
Text Classification (SP)
|
100% |
2714
3.62 KIPS |
|
|
Text Classification (HP)
|
100% |
4876
6.51 KIPS |
|
|
Text Classification (Q)
|
93% |
4799
6.44 KIPS |
|
|
Machine Translation (SP)
|
100% |
1293
22.3 IPS |
|
|
Machine Translation (HP)
|
100% |
1249
21.5 IPS |
|
|
Machine Translation (Q)
|
98% |
1228
21.2 IPS |
