iPhone 14 Pro
Geekbench AI Score
4187
Single Precision Score
4575
Half Precision Score
4287
Quantized Score
Geekbench AI 1.4.0 for iOS AArch64
Result Information
| Upload Date | September 03 2025 05:09 PM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple A16 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 26.0 |
| Model | iPhone 14 Pro |
| Model ID | iPhone15,2 |
| Motherboard | D73AP |
| CPU Information | |
|---|---|
| Name | Apple A16 Bionic |
| Topology | 1 Processor, 6 Cores |
| Identifier | ARM |
| Base Frequency | 3.46 GHz |
| Cluster 1 | 2 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 5.53 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1734
322.4 IPS |
|
|
Image Classification (HP)
|
100% |
1733
322.2 IPS |
|
|
Image Classification (Q)
|
96% |
1624
303.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
2881
46.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
2919
47.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
2774
45.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
11822
13.8 IPS |
|
|
Pose Estimation (HP)
|
100% |
12926
15.1 IPS |
|
|
Pose Estimation (Q)
|
96% |
12554
14.7 IPS |
|
|
Object Detection (SP)
|
100% |
1936
153.5 IPS |
|
|
Object Detection (HP)
|
100% |
1953
154.9 IPS |
|
|
Object Detection (Q)
|
92% |
1789
142.8 IPS |
|
|
Face Detection (SP)
|
100% |
5343
63.5 IPS |
|
|
Face Detection (HP)
|
100% |
6174
73.4 IPS |
|
|
Face Detection (Q)
|
100% |
5073
60.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
8646
66.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
9099
70.1 IPS |
|
|
Depth Estimation (Q)
|
86% |
8526
66.6 IPS |
|
|
Style Transfer (SP)
|
100% |
21319
27.4 IPS |
|
|
Style Transfer (HP)
|
100% |
23816
30.6 IPS |
|
|
Style Transfer (Q)
|
96% |
23582
30.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4909
181.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4997
184.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4370
161.4 IPS |
|
|
Text Classification (SP)
|
100% |
2816
3.76 KIPS |
|
|
Text Classification (HP)
|
99% |
4784
6.39 KIPS |
|
|
Text Classification (Q)
|
93% |
4754
6.38 KIPS |
|
|
Machine Translation (SP)
|
100% |
1066
18.4 IPS |
|
|
Machine Translation (HP)
|
100% |
985
17.0 IPS |
|
|
Machine Translation (Q)
|
98% |
979
16.9 IPS |
