iPhone 14 Pro
Geekbench AI Score
3440
Single Precision Score
20524
Half Precision Score
24829
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | October 23 2025 04:32 PM |
| Views | 3 |
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% |
1335
248.3 IPS |
|
|
Image Classification (HP)
|
100% |
6956
1.29 KIPS |
|
|
Image Classification (Q)
|
97% |
11265
2.10 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1373
22.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
16078
260.6 IPS |
|
|
Image Segmentation (Q)
|
99% |
19137
310.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
6517
7.60 IPS |
|
|
Pose Estimation (HP)
|
100% |
95163
111.0 IPS |
|
|
Pose Estimation (Q)
|
95% |
102537
120.2 IPS |
|
|
Object Detection (SP)
|
100% |
1474
116.9 IPS |
|
|
Object Detection (HP)
|
100% |
10502
833.0 IPS |
|
|
Object Detection (Q)
|
91% |
12088
965.8 IPS |
|
|
Face Detection (SP)
|
100% |
3137
37.3 IPS |
|
|
Face Detection (HP)
|
100% |
28743
341.5 IPS |
|
|
Face Detection (Q)
|
100% |
40434
480.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
5869
45.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
60869
469.0 IPS |
|
|
Depth Estimation (Q)
|
85% |
83565
653.3 IPS |
|
|
Style Transfer (SP)
|
100% |
18666
24.0 IPS |
|
|
Style Transfer (HP)
|
100% |
167825
215.7 IPS |
|
|
Style Transfer (Q)
|
96% |
170238
219.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3982
147.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
25029
924.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
27524
1.02 KIPS |
|
|
Text Classification (SP)
|
100% |
2822
3.77 KIPS |
|
|
Text Classification (HP)
|
100% |
2256
3.01 KIPS |
|
|
Text Classification (Q)
|
93% |
2506
3.36 KIPS |
|
|
Machine Translation (SP)
|
100% |
3415
58.8 IPS |
|
|
Machine Translation (HP)
|
100% |
7158
123.3 IPS |
|
|
Machine Translation (Q)
|
98% |
8401
145.2 IPS |
