iPhone 14 Pro
Geekbench AI Score
4288
Single Precision Score
4721
Half Precision Score
4451
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| User | bgh0809 |
| Upload Date | November 19 2025 09:55 PM |
| 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% |
1822
338.9 IPS |
|
|
Image Classification (HP)
|
100% |
1970
366.3 IPS |
|
|
Image Classification (Q)
|
96% |
1819
339.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
2997
48.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
2962
48.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
2856
46.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
11941
13.9 IPS |
|
|
Pose Estimation (HP)
|
100% |
13125
15.3 IPS |
|
|
Pose Estimation (Q)
|
96% |
12767
15.0 IPS |
|
|
Object Detection (SP)
|
100% |
1976
156.8 IPS |
|
|
Object Detection (HP)
|
100% |
2003
158.9 IPS |
|
|
Object Detection (Q)
|
92% |
1827
145.8 IPS |
|
|
Face Detection (SP)
|
100% |
5503
65.4 IPS |
|
|
Face Detection (HP)
|
100% |
6200
73.7 IPS |
|
|
Face Detection (Q)
|
100% |
5149
61.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
8800
67.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
9342
72.0 IPS |
|
|
Depth Estimation (Q)
|
86% |
8535
66.7 IPS |
|
|
Style Transfer (SP)
|
100% |
21604
27.8 IPS |
|
|
Style Transfer (HP)
|
100% |
24601
31.6 IPS |
|
|
Style Transfer (Q)
|
96% |
24111
31.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4997
184.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
5145
190.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4539
167.6 IPS |
|
|
Text Classification (SP)
|
100% |
2828
3.78 KIPS |
|
|
Text Classification (HP)
|
99% |
4910
6.55 KIPS |
|
|
Text Classification (Q)
|
93% |
4885
6.56 KIPS |
|
|
Machine Translation (SP)
|
100% |
1105
19.0 IPS |
|
|
Machine Translation (HP)
|
100% |
996
17.2 IPS |
|
|
Machine Translation (Q)
|
98% |
1073
18.5 IPS |
