iPhone 14 Pro
Geekbench AI Score
3432
Single Precision Score
22360
Half Precision Score
24855
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| User | Yaros1av0101 |
| Upload Date | September 20 2025 09:27 PM |
| Views | 9 |
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% |
1343
249.7 IPS |
|
|
Image Classification (HP)
|
100% |
9915
1.84 KIPS |
|
|
Image Classification (Q)
|
97% |
11396
2.13 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1370
22.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
15619
253.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
19054
308.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
6541
7.63 IPS |
|
|
Pose Estimation (HP)
|
100% |
98277
114.7 IPS |
|
|
Pose Estimation (Q)
|
95% |
102510
120.1 IPS |
|
|
Object Detection (SP)
|
100% |
1456
115.5 IPS |
|
|
Object Detection (HP)
|
100% |
11737
931.0 IPS |
|
|
Object Detection (Q)
|
91% |
14102
1.13 KIPS |
|
|
Face Detection (SP)
|
100% |
3174
37.7 IPS |
|
|
Face Detection (HP)
|
100% |
30650
364.2 IPS |
|
|
Face Detection (Q)
|
100% |
39430
468.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
5948
45.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
71874
553.7 IPS |
|
|
Depth Estimation (Q)
|
85% |
92007
719.3 IPS |
|
|
Style Transfer (SP)
|
100% |
18675
24.0 IPS |
|
|
Style Transfer (HP)
|
100% |
170827
219.6 IPS |
|
|
Style Transfer (Q)
|
96% |
163813
211.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3841
141.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
33426
1.23 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
35776
1.32 KIPS |
|
|
Text Classification (SP)
|
100% |
2819
3.76 KIPS |
|
|
Text Classification (HP)
|
100% |
1930
2.58 KIPS |
|
|
Text Classification (Q)
|
93% |
1621
2.18 KIPS |
|
|
Machine Translation (SP)
|
100% |
3391
58.4 IPS |
|
|
Machine Translation (HP)
|
100% |
7204
124.1 IPS |
|
|
Machine Translation (Q)
|
98% |
8318
143.8 IPS |
