iPhone 14 Pro
Geekbench AI Score
3436
Single Precision Score
21795
Half Precision Score
25192
Quantized Score
Geekbench AI 1.6.1 for iOS AArch64
Result Information
| User | laidbackdev |
| Upload Date | January 02 2026 10:46 AM |
| Views | 7 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| 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% |
1324
246.2 IPS |
|
|
Image Classification (HP)
|
100% |
8578
1.60 KIPS |
|
|
Image Classification (Q)
|
97% |
11182
2.09 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1417
23.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
13385
217.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
16977
275.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
6652
7.76 IPS |
|
|
Pose Estimation (HP)
|
100% |
99276
115.8 IPS |
|
|
Pose Estimation (Q)
|
95% |
101740
119.2 IPS |
|
|
Object Detection (SP)
|
100% |
1455
115.4 IPS |
|
|
Object Detection (HP)
|
100% |
11487
911.1 IPS |
|
|
Object Detection (Q)
|
91% |
13501
1.08 KIPS |
|
|
Face Detection (SP)
|
100% |
3113
37.0 IPS |
|
|
Face Detection (HP)
|
100% |
26074
309.8 IPS |
|
|
Face Detection (Q)
|
100% |
40011
475.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
5925
45.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
72442
558.1 IPS |
|
|
Depth Estimation (Q)
|
85% |
90689
709.0 IPS |
|
|
Style Transfer (SP)
|
100% |
18771
24.1 IPS |
|
|
Style Transfer (HP)
|
100% |
164836
211.9 IPS |
|
|
Style Transfer (Q)
|
96% |
172180
222.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3925
144.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
32559
1.20 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
35120
1.30 KIPS |
|
|
Text Classification (SP)
|
100% |
2791
3.73 KIPS |
|
|
Text Classification (HP)
|
100% |
2535
3.38 KIPS |
|
|
Text Classification (Q)
|
93% |
2169
2.91 KIPS |
|
|
Machine Translation (SP)
|
100% |
3339
57.5 IPS |
|
|
Machine Translation (HP)
|
100% |
7191
123.9 IPS |
|
|
Machine Translation (Q)
|
98% |
8296
143.4 IPS |
