iPhone 14 Pro
Geekbench AI Score
2284
Single Precision Score
4150
Half Precision Score
3306
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| Upload Date | June 23 2025 09:34 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple A16 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 18.5 |
| 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% |
1410
262.1 IPS |
|
|
Image Classification (HP)
|
100% |
2548
473.8 IPS |
|
|
Image Classification (Q)
|
96% |
1748
326.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
1410
22.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
2111
34.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
2595
42.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
5045
5.89 IPS |
|
|
Pose Estimation (HP)
|
100% |
10973
12.8 IPS |
|
|
Pose Estimation (Q)
|
95% |
6005
7.04 IPS |
|
|
Object Detection (SP)
|
100% |
708
56.2 IPS |
|
|
Object Detection (HP)
|
97% |
1749
139.3 IPS |
|
|
Object Detection (Q)
|
94% |
1001
79.8 IPS |
|
|
Face Detection (SP)
|
100% |
2110
25.1 IPS |
|
|
Face Detection (HP)
|
100% |
2601
30.9 IPS |
|
|
Face Detection (Q)
|
100% |
1909
22.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
3203
24.7 IPS |
|
|
Depth Estimation (HP)
|
98% |
8732
67.5 IPS |
|
|
Depth Estimation (Q)
|
85% |
5465
42.7 IPS |
|
|
Style Transfer (SP)
|
100% |
7646
9.83 IPS |
|
|
Style Transfer (HP)
|
100% |
17313
22.3 IPS |
|
|
Style Transfer (Q)
|
96% |
13994
18.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2530
93.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
3251
120.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
2008
74.2 IPS |
|
|
Text Classification (SP)
|
100% |
1918
2.56 KIPS |
|
|
Text Classification (HP)
|
100% |
2903
3.87 KIPS |
|
|
Text Classification (Q)
|
93% |
3975
5.33 KIPS |
|
|
Machine Translation (SP)
|
100% |
2176
37.5 IPS |
|
|
Machine Translation (HP)
|
98% |
3964
68.5 IPS |
|
|
Machine Translation (Q)
|
98% |
4920
85.0 IPS |
