iPhone 14
Geekbench AI Score
2854
Single Precision Score
5232
Half Precision Score
4291
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| User | Hyperhyper2 |
| Upload Date | December 27 2025 05:56 PM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple A15 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 26.2 |
| 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% |
1221
227.1 IPS |
|
|
Image Classification (HP)
|
100% |
2288
425.4 IPS |
|
|
Image Classification (Q)
|
96% |
1584
295.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
1222
19.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
1867
30.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
2302
37.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
5104
5.96 IPS |
|
|
Pose Estimation (HP)
|
100% |
11651
13.6 IPS |
|
|
Pose Estimation (Q)
|
95% |
9678
11.3 IPS |
|
|
Object Detection (SP)
|
100% |
1016
80.6 IPS |
|
|
Object Detection (HP)
|
97% |
2114
168.3 IPS |
|
|
Object Detection (Q)
|
94% |
1654
131.8 IPS |
|
|
Face Detection (SP)
|
100% |
2441
29.0 IPS |
|
|
Face Detection (HP)
|
100% |
5241
62.3 IPS |
|
|
Face Detection (Q)
|
100% |
2888
34.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
4604
35.5 IPS |
|
|
Depth Estimation (HP)
|
98% |
9110
70.4 IPS |
|
|
Depth Estimation (Q)
|
85% |
6801
53.2 IPS |
|
|
Style Transfer (SP)
|
100% |
15088
19.4 IPS |
|
|
Style Transfer (HP)
|
100% |
24914
32.0 IPS |
|
|
Style Transfer (Q)
|
96% |
20252
26.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3346
123.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4508
166.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3416
126.1 IPS |
|
|
Text Classification (SP)
|
100% |
2513
3.35 KIPS |
|
|
Text Classification (HP)
|
99% |
4268
5.70 KIPS |
|
|
Text Classification (Q)
|
93% |
4239
5.69 KIPS |
|
|
Machine Translation (SP)
|
100% |
3260
56.2 IPS |
|
|
Machine Translation (HP)
|
98% |
6387
110.4 IPS |
|
|
Machine Translation (Q)
|
98% |
6303
108.9 IPS |
