iPhone 14 Pro
Geekbench AI Score
3240
Single Precision Score
5940
Half Precision Score
4858
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| Upload Date | June 18 2025 11:54 PM |
| Views | 1 |
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% |
1207
224.5 IPS |
|
|
Image Classification (HP)
|
100% |
2440
453.8 IPS |
|
|
Image Classification (Q)
|
96% |
1701
317.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
1349
21.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
1950
31.6 IPS |
|
|
Image Segmentation (Q)
|
99% |
2322
37.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
5462
6.37 IPS |
|
|
Pose Estimation (HP)
|
100% |
12429
14.5 IPS |
|
|
Pose Estimation (Q)
|
95% |
11448
13.4 IPS |
|
|
Object Detection (SP)
|
100% |
1288
102.1 IPS |
|
|
Object Detection (HP)
|
97% |
2808
223.5 IPS |
|
|
Object Detection (Q)
|
94% |
2002
159.6 IPS |
|
|
Face Detection (SP)
|
100% |
2784
33.1 IPS |
|
|
Face Detection (HP)
|
100% |
5846
69.5 IPS |
|
|
Face Detection (Q)
|
100% |
3314
39.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
5806
44.7 IPS |
|
|
Depth Estimation (HP)
|
98% |
11314
87.5 IPS |
|
|
Depth Estimation (Q)
|
85% |
7840
61.3 IPS |
|
|
Style Transfer (SP)
|
100% |
17235
22.2 IPS |
|
|
Style Transfer (HP)
|
100% |
28185
36.2 IPS |
|
|
Style Transfer (Q)
|
96% |
23637
30.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3973
146.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
5311
196.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3923
144.9 IPS |
|
|
Text Classification (SP)
|
100% |
2774
3.70 KIPS |
|
|
Text Classification (HP)
|
100% |
4865
6.49 KIPS |
|
|
Text Classification (Q)
|
93% |
4864
6.53 KIPS |
|
|
Machine Translation (SP)
|
100% |
3631
62.6 IPS |
|
|
Machine Translation (HP)
|
98% |
6839
118.2 IPS |
|
|
Machine Translation (Q)
|
98% |
6911
119.4 IPS |
