iPhone 14 Pro
Geekbench AI Score
3423
Single Precision Score
22650
Half Precision Score
25971
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | September 19 2025 05:43 AM |
| Views | 1 |
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% |
8934
1.66 KIPS |
|
|
Image Classification (Q)
|
97% |
11799
2.20 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1410
22.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
14589
236.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
18966
307.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
6235
7.27 IPS |
|
|
Pose Estimation (HP)
|
100% |
98085
114.4 IPS |
|
|
Pose Estimation (Q)
|
95% |
102945
120.7 IPS |
|
|
Object Detection (SP)
|
100% |
1456
115.5 IPS |
|
|
Object Detection (HP)
|
100% |
12606
999.9 IPS |
|
|
Object Detection (Q)
|
91% |
13480
1.08 KIPS |
|
|
Face Detection (SP)
|
100% |
3118
37.0 IPS |
|
|
Face Detection (HP)
|
100% |
31239
371.2 IPS |
|
|
Face Detection (Q)
|
100% |
38253
454.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
5960
45.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
65604
505.4 IPS |
|
|
Depth Estimation (Q)
|
85% |
85997
672.4 IPS |
|
|
Style Transfer (SP)
|
100% |
18249
23.5 IPS |
|
|
Style Transfer (HP)
|
100% |
168112
216.1 IPS |
|
|
Style Transfer (Q)
|
96% |
169086
218.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3954
146.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
32846
1.21 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
34460
1.27 KIPS |
|
|
Text Classification (SP)
|
100% |
2821
3.76 KIPS |
|
|
Text Classification (HP)
|
100% |
2689
3.59 KIPS |
|
|
Text Classification (Q)
|
93% |
2905
3.90 KIPS |
|
|
Machine Translation (SP)
|
100% |
3389
58.4 IPS |
|
|
Machine Translation (HP)
|
100% |
7247
124.8 IPS |
|
|
Machine Translation (Q)
|
98% |
8076
139.6 IPS |
