iPhone 14
Geekbench AI Score
1715
Single Precision Score
12973
Half Precision Score
14210
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | December 14 2025 10:15 PM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple A15 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 26.1 |
| Model | iPhone 14 |
| Model ID | iPhone14,7 |
| Motherboard | D27AP |
| CPU Information | |
|---|---|
| Name | Apple A15 Bionic |
| Topology | 1 Processor, 6 Cores |
| Identifier | ARM |
| Base Frequency | 3.23 GHz |
| Cluster 1 | 2 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 5.58 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
605
112.4 IPS |
|
|
Image Classification (HP)
|
100% |
6003
1.12 KIPS |
|
|
Image Classification (Q)
|
96% |
6780
1.27 KIPS |
|
|
Image Segmentation (SP)
|
100% |
756
12.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
9043
146.6 IPS |
|
|
Image Segmentation (Q)
|
99% |
10486
170.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
3165
3.69 IPS |
|
|
Pose Estimation (HP)
|
100% |
47098
55.0 IPS |
|
|
Pose Estimation (Q)
|
95% |
48532
56.9 IPS |
|
|
Object Detection (SP)
|
100% |
691
54.8 IPS |
|
|
Object Detection (HP)
|
99% |
6928
551.1 IPS |
|
|
Object Detection (Q)
|
91% |
7517
600.6 IPS |
|
|
Face Detection (SP)
|
100% |
1738
20.7 IPS |
|
|
Face Detection (HP)
|
100% |
15275
181.5 IPS |
|
|
Face Detection (Q)
|
100% |
19479
231.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
2562
19.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
38048
293.1 IPS |
|
|
Depth Estimation (Q)
|
85% |
45009
351.7 IPS |
|
|
Style Transfer (SP)
|
100% |
8843
11.4 IPS |
|
|
Style Transfer (HP)
|
100% |
94538
121.5 IPS |
|
|
Style Transfer (Q)
|
96% |
89684
115.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1905
70.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
18238
673.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
20473
756.0 IPS |
|
|
Text Classification (SP)
|
100% |
1399
1.87 KIPS |
|
|
Text Classification (HP)
|
100% |
1629
2.17 KIPS |
|
|
Text Classification (Q)
|
93% |
1594
2.14 KIPS |
|
|
Machine Translation (SP)
|
100% |
2097
36.1 IPS |
|
|
Machine Translation (HP)
|
100% |
4673
80.5 IPS |
|
|
Machine Translation (Q)
|
98% |
5045
87.2 IPS |
