iPhone 14 Pro
Geekbench AI Score
3396
Single Precision Score
6270
Half Precision Score
5116
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | November 03 2025 07:30 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple A16 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 26.1 |
| 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% |
1342
249.5 IPS |
|
|
Image Classification (HP)
|
100% |
2647
492.3 IPS |
|
|
Image Classification (Q)
|
96% |
1820
339.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
1386
22.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
2166
35.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
2684
43.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
6338
7.40 IPS |
|
|
Pose Estimation (HP)
|
100% |
15228
17.8 IPS |
|
|
Pose Estimation (Q)
|
95% |
13213
15.5 IPS |
|
|
Object Detection (SP)
|
100% |
1445
114.6 IPS |
|
|
Object Detection (HP)
|
97% |
2948
234.7 IPS |
|
|
Object Detection (Q)
|
94% |
2119
168.9 IPS |
|
|
Face Detection (SP)
|
100% |
3052
36.3 IPS |
|
|
Face Detection (HP)
|
100% |
6080
72.2 IPS |
|
|
Face Detection (Q)
|
100% |
3501
41.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
5902
45.5 IPS |
|
|
Depth Estimation (HP)
|
98% |
11777
91.0 IPS |
|
|
Depth Estimation (Q)
|
85% |
8178
63.9 IPS |
|
|
Style Transfer (SP)
|
100% |
18313
23.5 IPS |
|
|
Style Transfer (HP)
|
100% |
29387
37.8 IPS |
|
|
Style Transfer (Q)
|
96% |
24447
31.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3928
145.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
5250
193.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3938
145.4 IPS |
|
|
Text Classification (SP)
|
100% |
2790
3.72 KIPS |
|
|
Text Classification (HP)
|
99% |
4715
6.29 KIPS |
|
|
Text Classification (Q)
|
93% |
4654
6.25 KIPS |
|
|
Machine Translation (SP)
|
100% |
3322
57.2 IPS |
|
|
Machine Translation (HP)
|
98% |
7011
121.1 IPS |
|
|
Machine Translation (Q)
|
98% |
7003
121.0 IPS |
