iPhone 14 Pro
Geekbench AI Score
3551
Single Precision Score
6222
Half Precision Score
5082
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| Upload Date | July 01 2025 09:20 AM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple A16 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 19.0 |
| 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% |
1425
265.1 IPS |
|
|
Image Classification (HP)
|
100% |
2632
489.5 IPS |
|
|
Image Classification (Q)
|
96% |
1816
339.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
1430
23.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
2134
34.6 IPS |
|
|
Image Segmentation (Q)
|
99% |
2675
43.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
6677
7.79 IPS |
|
|
Pose Estimation (HP)
|
100% |
15180
17.7 IPS |
|
|
Pose Estimation (Q)
|
95% |
12921
15.1 IPS |
|
|
Object Detection (SP)
|
100% |
1577
125.1 IPS |
|
|
Object Detection (HP)
|
97% |
2919
232.4 IPS |
|
|
Object Detection (Q)
|
94% |
2101
167.5 IPS |
|
|
Face Detection (SP)
|
100% |
3158
37.5 IPS |
|
|
Face Detection (HP)
|
100% |
6118
72.7 IPS |
|
|
Face Detection (Q)
|
100% |
3476
41.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
5936
45.7 IPS |
|
|
Depth Estimation (HP)
|
98% |
11566
89.4 IPS |
|
|
Depth Estimation (Q)
|
85% |
8010
62.6 IPS |
|
|
Style Transfer (SP)
|
100% |
18232
23.4 IPS |
|
|
Style Transfer (HP)
|
100% |
29481
37.9 IPS |
|
|
Style Transfer (Q)
|
96% |
24471
31.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4065
150.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
5082
187.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3900
144.0 IPS |
|
|
Text Classification (SP)
|
100% |
2869
3.83 KIPS |
|
|
Text Classification (HP)
|
99% |
4728
6.31 KIPS |
|
|
Text Classification (Q)
|
93% |
4670
6.27 KIPS |
|
|
Machine Translation (SP)
|
100% |
3737
64.4 IPS |
|
|
Machine Translation (HP)
|
98% |
6980
120.6 IPS |
|
|
Machine Translation (Q)
|
98% |
7026
121.4 IPS |
