iPhone 14 Pro
Geekbench AI Score
4255
Single Precision Score
4655
Half Precision Score
4358
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | September 16 2025 07:21 PM |
| Views | 2 |
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% |
1835
341.3 IPS |
|
|
Image Classification (HP)
|
100% |
1746
324.7 IPS |
|
|
Image Classification (Q)
|
96% |
1683
314.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
2868
46.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
2969
48.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
2795
45.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
11782
13.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
12859
15.0 IPS |
|
|
Pose Estimation (Q)
|
96% |
12470
14.6 IPS |
|
|
Object Detection (SP)
|
100% |
1895
150.3 IPS |
|
|
Object Detection (HP)
|
100% |
1960
155.5 IPS |
|
|
Object Detection (Q)
|
92% |
1764
140.8 IPS |
|
|
Face Detection (SP)
|
100% |
5456
64.8 IPS |
|
|
Face Detection (HP)
|
100% |
6119
72.7 IPS |
|
|
Face Detection (Q)
|
100% |
5251
62.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
8684
66.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
9135
70.4 IPS |
|
|
Depth Estimation (Q)
|
86% |
8326
65.0 IPS |
|
|
Style Transfer (SP)
|
100% |
21328
27.4 IPS |
|
|
Style Transfer (HP)
|
100% |
24111
31.0 IPS |
|
|
Style Transfer (Q)
|
96% |
23675
30.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4860
179.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
5249
193.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4493
165.9 IPS |
|
|
Text Classification (SP)
|
100% |
2812
3.75 KIPS |
|
|
Text Classification (HP)
|
99% |
4852
6.48 KIPS |
|
|
Text Classification (Q)
|
93% |
4825
6.48 KIPS |
|
|
Machine Translation (SP)
|
100% |
1201
20.7 IPS |
|
|
Machine Translation (HP)
|
100% |
1067
18.4 IPS |
|
|
Machine Translation (Q)
|
98% |
1065
18.4 IPS |
