iPhone 14 Pro
Geekbench AI Score
3389
Single Precision Score
18243
Half Precision Score
20799
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | December 09 2025 12:14 PM |
| Views | 1 |
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% |
1285
239.0 IPS |
|
|
Image Classification (HP)
|
100% |
7196
1.34 KIPS |
|
|
Image Classification (Q)
|
97% |
8645
1.61 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1369
22.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
13464
218.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
18964
307.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
6482
7.56 IPS |
|
|
Pose Estimation (HP)
|
100% |
92459
107.9 IPS |
|
|
Pose Estimation (Q)
|
95% |
95542
112.0 IPS |
|
|
Object Detection (SP)
|
100% |
1450
115.1 IPS |
|
|
Object Detection (HP)
|
100% |
7304
579.3 IPS |
|
|
Object Detection (Q)
|
91% |
7963
636.3 IPS |
|
|
Face Detection (SP)
|
100% |
3077
36.6 IPS |
|
|
Face Detection (HP)
|
100% |
30840
366.4 IPS |
|
|
Face Detection (Q)
|
100% |
39180
465.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
5810
44.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
55902
430.7 IPS |
|
|
Depth Estimation (Q)
|
85% |
68935
539.0 IPS |
|
|
Style Transfer (SP)
|
100% |
18670
24.0 IPS |
|
|
Style Transfer (HP)
|
100% |
147788
190.0 IPS |
|
|
Style Transfer (Q)
|
96% |
151201
195.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3893
143.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
18681
689.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
21772
803.9 IPS |
|
|
Text Classification (SP)
|
100% |
2765
3.69 KIPS |
|
|
Text Classification (HP)
|
100% |
1904
2.54 KIPS |
|
|
Text Classification (Q)
|
93% |
1894
2.54 KIPS |
|
|
Machine Translation (SP)
|
100% |
3367
58.0 IPS |
|
|
Machine Translation (HP)
|
100% |
6888
118.7 IPS |
|
|
Machine Translation (Q)
|
98% |
7216
124.7 IPS |
