iPhone 14
Geekbench AI Score
3345
Single Precision Score
19756
Half Precision Score
22281
Quantized Score
Geekbench AI 1.4.0 for iOS AArch64
Result Information
| Upload Date | August 31 2025 10:34 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple A15 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 26.0 |
| 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% |
1364
253.7 IPS |
|
|
Image Classification (HP)
|
100% |
8727
1.62 KIPS |
|
|
Image Classification (Q)
|
96% |
9734
1.82 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1337
21.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
13144
213.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
15499
251.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
6384
7.45 IPS |
|
|
Pose Estimation (HP)
|
100% |
82958
96.8 IPS |
|
|
Pose Estimation (Q)
|
95% |
80687
94.6 IPS |
|
|
Object Detection (SP)
|
100% |
1475
117.0 IPS |
|
|
Object Detection (HP)
|
99% |
10308
820.0 IPS |
|
|
Object Detection (Q)
|
91% |
12720
1.02 KIPS |
|
|
Face Detection (SP)
|
100% |
2801
33.3 IPS |
|
|
Face Detection (HP)
|
100% |
27037
321.3 IPS |
|
|
Face Detection (Q)
|
100% |
36546
434.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
5425
41.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
54801
422.2 IPS |
|
|
Depth Estimation (Q)
|
85% |
75707
591.6 IPS |
|
|
Style Transfer (SP)
|
100% |
17375
22.3 IPS |
|
|
Style Transfer (HP)
|
100% |
143611
184.6 IPS |
|
|
Style Transfer (Q)
|
96% |
141539
182.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3850
142.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
29729
1.10 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
29365
1.08 KIPS |
|
|
Text Classification (SP)
|
100% |
2629
3.51 KIPS |
|
|
Text Classification (HP)
|
100% |
2347
3.13 KIPS |
|
|
Text Classification (Q)
|
93% |
2392
3.21 KIPS |
|
|
Machine Translation (SP)
|
100% |
3826
65.9 IPS |
|
|
Machine Translation (HP)
|
100% |
6221
107.2 IPS |
|
|
Machine Translation (Q)
|
98% |
7080
122.3 IPS |
