iPhone 14
Geekbench AI Score
3312
Single Precision Score
3729
Half Precision Score
3801
Quantized Score
Geekbench AI 1.4.0 for iOS AArch64
Result Information
| Upload Date | August 31 2025 10:29 PM |
| Views | 1 |
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 | 5.58 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
804
149.5 IPS |
|
|
Image Classification (HP)
|
100% |
687
127.8 IPS |
|
|
Image Classification (Q)
|
96% |
1118
208.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
2835
46.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
2882
46.7 IPS |
|
|
Image Segmentation (Q)
|
99% |
2761
44.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
11275
13.2 IPS |
|
|
Pose Estimation (HP)
|
100% |
12716
14.8 IPS |
|
|
Pose Estimation (Q)
|
96% |
12392
14.5 IPS |
|
|
Object Detection (SP)
|
100% |
1381
109.5 IPS |
|
|
Object Detection (HP)
|
100% |
1341
106.4 IPS |
|
|
Object Detection (Q)
|
92% |
1231
98.3 IPS |
|
|
Face Detection (SP)
|
100% |
4238
50.4 IPS |
|
|
Face Detection (HP)
|
100% |
4464
53.0 IPS |
|
|
Face Detection (Q)
|
100% |
4838
57.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
8316
64.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
8890
68.5 IPS |
|
|
Depth Estimation (Q)
|
86% |
8227
64.3 IPS |
|
|
Style Transfer (SP)
|
100% |
18752
24.1 IPS |
|
|
Style Transfer (HP)
|
100% |
23433
30.1 IPS |
|
|
Style Transfer (Q)
|
96% |
23271
30.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2710
100.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
3870
142.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3343
123.4 IPS |
|
|
Text Classification (SP)
|
100% |
2603
3.47 KIPS |
|
|
Text Classification (HP)
|
99% |
4153
5.54 KIPS |
|
|
Text Classification (Q)
|
93% |
4183
5.61 KIPS |
|
|
Machine Translation (SP)
|
100% |
962
16.6 IPS |
|
|
Machine Translation (HP)
|
100% |
1032
17.8 IPS |
|
|
Machine Translation (Q)
|
98% |
1034
17.9 IPS |
