iPhone 14 Pro
Geekbench AI Score
3404
Single Precision Score
21753
Half Precision Score
24473
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| User | Yaros1av0101 |
| Upload Date | September 21 2025 07:54 PM |
| Views | 6 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| 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% |
1347
250.5 IPS |
|
|
Image Classification (HP)
|
100% |
9577
1.78 KIPS |
|
|
Image Classification (Q)
|
97% |
11041
2.06 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1378
22.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
14711
238.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
16723
271.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
6494
7.58 IPS |
|
|
Pose Estimation (HP)
|
100% |
98610
115.1 IPS |
|
|
Pose Estimation (Q)
|
95% |
101655
119.1 IPS |
|
|
Object Detection (SP)
|
100% |
1452
115.2 IPS |
|
|
Object Detection (HP)
|
100% |
11769
933.5 IPS |
|
|
Object Detection (Q)
|
91% |
13445
1.07 KIPS |
|
|
Face Detection (SP)
|
100% |
3111
37.0 IPS |
|
|
Face Detection (HP)
|
100% |
28357
336.9 IPS |
|
|
Face Detection (Q)
|
100% |
39408
468.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
5897
45.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
71466
550.6 IPS |
|
|
Depth Estimation (Q)
|
85% |
90109
704.5 IPS |
|
|
Style Transfer (SP)
|
100% |
18412
23.7 IPS |
|
|
Style Transfer (HP)
|
100% |
162774
209.2 IPS |
|
|
Style Transfer (Q)
|
96% |
164696
212.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3812
140.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
32959
1.22 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
36705
1.36 KIPS |
|
|
Text Classification (SP)
|
100% |
2745
3.66 KIPS |
|
|
Text Classification (HP)
|
100% |
1833
2.45 KIPS |
|
|
Text Classification (Q)
|
93% |
1692
2.27 KIPS |
|
|
Machine Translation (SP)
|
100% |
3379
58.2 IPS |
|
|
Machine Translation (HP)
|
100% |
7284
125.5 IPS |
|
|
Machine Translation (Q)
|
98% |
8410
145.3 IPS |
