iPhone 14
Geekbench AI Score
3261
Single Precision Score
3590
Half Precision Score
3464
Quantized Score
Geekbench AI 1.4.0 for iOS AArch64
Result Information
| Upload Date | July 09 2025 08:01 PM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| 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 | 5.57 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
674
125.3 IPS |
|
|
Image Classification (HP)
|
100% |
739
137.4 IPS |
|
|
Image Classification (Q)
|
96% |
676
126.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
2571
41.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
2606
42.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
2768
44.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
11267
13.1 IPS |
|
|
Pose Estimation (HP)
|
100% |
12703
14.8 IPS |
|
|
Pose Estimation (Q)
|
96% |
12455
14.6 IPS |
|
|
Object Detection (SP)
|
100% |
1319
104.6 IPS |
|
|
Object Detection (HP)
|
100% |
1329
105.4 IPS |
|
|
Object Detection (Q)
|
92% |
914
72.9 IPS |
|
|
Face Detection (SP)
|
100% |
4029
47.9 IPS |
|
|
Face Detection (HP)
|
100% |
4316
51.3 IPS |
|
|
Face Detection (Q)
|
100% |
5034
59.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
8346
64.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
8260
63.6 IPS |
|
|
Depth Estimation (Q)
|
86% |
8390
65.5 IPS |
|
|
Style Transfer (SP)
|
100% |
18466
23.7 IPS |
|
|
Style Transfer (HP)
|
100% |
22958
29.5 IPS |
|
|
Style Transfer (Q)
|
96% |
22575
29.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3882
143.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
3589
132.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3350
123.7 IPS |
|
|
Text Classification (SP)
|
100% |
2499
3.34 KIPS |
|
|
Text Classification (HP)
|
99% |
4153
5.54 KIPS |
|
|
Text Classification (Q)
|
93% |
4133
5.55 KIPS |
|
|
Machine Translation (SP)
|
100% |
878
15.1 IPS |
|
|
Machine Translation (HP)
|
100% |
898
15.5 IPS |
|
|
Machine Translation (Q)
|
98% |
885
15.3 IPS |
