iPhone 14
Geekbench AI Score
3058
Single Precision Score
5634
Half Precision Score
4595
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | November 18 2025 10:00 PM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| 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% |
1209
224.9 IPS |
|
|
Image Classification (HP)
|
100% |
2263
420.8 IPS |
|
|
Image Classification (Q)
|
96% |
1577
294.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
1170
19.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
1870
30.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
2420
39.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
5577
6.51 IPS |
|
|
Pose Estimation (HP)
|
100% |
13938
16.3 IPS |
|
|
Pose Estimation (Q)
|
95% |
11624
13.6 IPS |
|
|
Object Detection (SP)
|
100% |
1305
103.5 IPS |
|
|
Object Detection (HP)
|
97% |
2563
204.0 IPS |
|
|
Object Detection (Q)
|
94% |
1870
149.0 IPS |
|
|
Face Detection (SP)
|
100% |
2634
31.3 IPS |
|
|
Face Detection (HP)
|
100% |
5456
64.8 IPS |
|
|
Face Detection (Q)
|
100% |
3124
37.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
4977
38.3 IPS |
|
|
Depth Estimation (HP)
|
98% |
10454
80.8 IPS |
|
|
Depth Estimation (Q)
|
85% |
7329
57.3 IPS |
|
|
Style Transfer (SP)
|
100% |
16517
21.2 IPS |
|
|
Style Transfer (HP)
|
100% |
26993
34.7 IPS |
|
|
Style Transfer (Q)
|
96% |
22174
28.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3549
131.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4979
183.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3632
134.1 IPS |
|
|
Text Classification (SP)
|
100% |
2615
3.49 KIPS |
|
|
Text Classification (HP)
|
99% |
4345
5.80 KIPS |
|
|
Text Classification (Q)
|
93% |
4280
5.74 KIPS |
|
|
Machine Translation (SP)
|
100% |
3465
59.7 IPS |
|
|
Machine Translation (HP)
|
98% |
6403
110.6 IPS |
|
|
Machine Translation (Q)
|
98% |
6415
110.9 IPS |
