iPhone 14
Geekbench AI Score
3310
Single Precision Score
20195
Half Precision Score
23683
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| User | laidbackdev |
| Upload Date | November 04 2025 02:55 PM |
| Views | 14 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple A15 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 18.7.1 |
| 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% |
1313
244.2 IPS |
|
|
Image Classification (HP)
|
100% |
8369
1.56 KIPS |
|
|
Image Classification (Q)
|
96% |
10104
1.89 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1323
21.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
12992
210.6 IPS |
|
|
Image Segmentation (Q)
|
99% |
14938
242.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
6562
7.66 IPS |
|
|
Pose Estimation (HP)
|
100% |
95504
111.4 IPS |
|
|
Pose Estimation (Q)
|
95% |
95854
112.3 IPS |
|
|
Object Detection (SP)
|
100% |
1475
117.0 IPS |
|
|
Object Detection (HP)
|
99% |
10910
867.9 IPS |
|
|
Object Detection (Q)
|
91% |
12324
984.8 IPS |
|
|
Face Detection (SP)
|
100% |
2791
33.2 IPS |
|
|
Face Detection (HP)
|
100% |
28496
338.6 IPS |
|
|
Face Detection (Q)
|
100% |
35637
423.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
5369
41.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
54951
423.4 IPS |
|
|
Depth Estimation (Q)
|
85% |
82897
647.8 IPS |
|
|
Style Transfer (SP)
|
100% |
17691
22.7 IPS |
|
|
Style Transfer (HP)
|
100% |
154606
198.7 IPS |
|
|
Style Transfer (Q)
|
96% |
171451
221.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3882
143.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
26769
988.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
32516
1.20 KIPS |
|
|
Text Classification (SP)
|
100% |
2443
3.26 KIPS |
|
|
Text Classification (HP)
|
100% |
2500
3.34 KIPS |
|
|
Text Classification (Q)
|
93% |
2580
3.46 KIPS |
|
|
Machine Translation (SP)
|
100% |
3740
64.4 IPS |
|
|
Machine Translation (HP)
|
100% |
6150
105.9 IPS |
|
|
Machine Translation (Q)
|
98% |
7330
126.7 IPS |
