iPhone 14 Pro
Geekbench AI Score
4195
Single Precision Score
4661
Half Precision Score
4331
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| User | Chris Sack |
| Upload Date | September 27 2025 12:55 AM |
| Views | 10 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple A16 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 26.1 |
| 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% |
1636
304.3 IPS |
|
|
Image Classification (HP)
|
100% |
1888
351.2 IPS |
|
|
Image Classification (Q)
|
96% |
1665
311.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
2817
45.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
2961
48.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
2795
45.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
11845
13.8 IPS |
|
|
Pose Estimation (HP)
|
100% |
12904
15.1 IPS |
|
|
Pose Estimation (Q)
|
96% |
12559
14.7 IPS |
|
|
Object Detection (SP)
|
100% |
1924
152.6 IPS |
|
|
Object Detection (HP)
|
100% |
1954
155.0 IPS |
|
|
Object Detection (Q)
|
92% |
1782
142.3 IPS |
|
|
Face Detection (SP)
|
100% |
5497
65.3 IPS |
|
|
Face Detection (HP)
|
100% |
5746
68.3 IPS |
|
|
Face Detection (Q)
|
100% |
5117
60.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
8590
66.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
9123
70.3 IPS |
|
|
Depth Estimation (Q)
|
86% |
8263
64.5 IPS |
|
|
Style Transfer (SP)
|
100% |
21393
27.5 IPS |
|
|
Style Transfer (HP)
|
100% |
24276
31.2 IPS |
|
|
Style Transfer (Q)
|
96% |
23584
30.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4803
177.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
5377
198.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4354
160.8 IPS |
|
|
Text Classification (SP)
|
100% |
2778
3.71 KIPS |
|
|
Text Classification (HP)
|
99% |
4776
6.38 KIPS |
|
|
Text Classification (Q)
|
93% |
4833
6.49 KIPS |
|
|
Machine Translation (SP)
|
100% |
1195
20.6 IPS |
|
|
Machine Translation (HP)
|
100% |
1051
18.1 IPS |
|
|
Machine Translation (Q)
|
98% |
1064
18.4 IPS |
