iPhone 14
Geekbench AI Score
3420
Single Precision Score
3698
Half Precision Score
3671
Quantized Score
Geekbench AI 1.4.0 for iOS AArch64
Result Information
| Upload Date | August 31 2025 01:05 PM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple A15 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 18.5 |
| 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% |
663
123.3 IPS |
|
|
Image Classification (HP)
|
100% |
1050
195.2 IPS |
|
|
Image Classification (Q)
|
96% |
1145
213.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
2817
45.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
2879
46.7 IPS |
|
|
Image Segmentation (Q)
|
99% |
2703
43.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
11324
13.2 IPS |
|
|
Pose Estimation (HP)
|
100% |
12666
14.8 IPS |
|
|
Pose Estimation (Q)
|
96% |
12336
14.4 IPS |
|
|
Object Detection (SP)
|
100% |
1483
117.6 IPS |
|
|
Object Detection (HP)
|
100% |
1348
106.9 IPS |
|
|
Object Detection (Q)
|
92% |
1288
102.8 IPS |
|
|
Face Detection (SP)
|
100% |
4903
58.3 IPS |
|
|
Face Detection (HP)
|
100% |
4009
47.6 IPS |
|
|
Face Detection (Q)
|
100% |
4018
47.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
8305
64.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
8796
67.8 IPS |
|
|
Depth Estimation (Q)
|
86% |
8102
63.3 IPS |
|
|
Style Transfer (SP)
|
100% |
19030
24.5 IPS |
|
|
Style Transfer (HP)
|
100% |
23308
30.0 IPS |
|
|
Style Transfer (Q)
|
96% |
22563
29.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3792
140.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2498
92.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3418
126.2 IPS |
|
|
Text Classification (SP)
|
100% |
2463
3.29 KIPS |
|
|
Text Classification (HP)
|
100% |
4301
5.74 KIPS |
|
|
Text Classification (Q)
|
93% |
4244
5.70 KIPS |
|
|
Machine Translation (SP)
|
100% |
967
16.7 IPS |
|
|
Machine Translation (HP)
|
100% |
1051
18.1 IPS |
|
|
Machine Translation (Q)
|
98% |
849
14.7 IPS |
