iPhone 14 Pro
Geekbench AI Score
3439
Single Precision Score
6263
Half Precision Score
5123
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | December 03 2025 07:27 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple A16 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 26.2 |
| 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% |
2616
486.6 IPS |
|
|
Image Classification (Q)
|
96% |
1806
337.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
1387
22.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
2185
35.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
2683
43.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
6584
7.68 IPS |
|
|
Pose Estimation (HP)
|
100% |
15465
18.0 IPS |
|
|
Pose Estimation (Q)
|
95% |
13259
15.5 IPS |
|
|
Object Detection (SP)
|
100% |
1462
115.9 IPS |
|
|
Object Detection (HP)
|
97% |
2945
234.5 IPS |
|
|
Object Detection (Q)
|
94% |
2114
168.5 IPS |
|
|
Face Detection (SP)
|
100% |
3135
37.2 IPS |
|
|
Face Detection (HP)
|
100% |
6119
72.7 IPS |
|
|
Face Detection (Q)
|
100% |
3516
41.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
6067
46.7 IPS |
|
|
Depth Estimation (HP)
|
98% |
11636
89.9 IPS |
|
|
Depth Estimation (Q)
|
85% |
8225
64.3 IPS |
|
|
Style Transfer (SP)
|
100% |
18688
24.0 IPS |
|
|
Style Transfer (HP)
|
100% |
29131
37.4 IPS |
|
|
Style Transfer (Q)
|
96% |
24264
31.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3856
142.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
5113
188.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3929
145.1 IPS |
|
|
Text Classification (SP)
|
100% |
2762
3.69 KIPS |
|
|
Text Classification (HP)
|
99% |
4789
6.39 KIPS |
|
|
Text Classification (Q)
|
93% |
4742
6.36 KIPS |
|
|
Machine Translation (SP)
|
100% |
3399
58.5 IPS |
|
|
Machine Translation (HP)
|
98% |
7031
121.5 IPS |
|
|
Machine Translation (Q)
|
98% |
7016
121.2 IPS |
