iPhone 14 Pro
Geekbench AI Score
4166
Single Precision Score
4636
Half Precision Score
4310
Quantized Score
Geekbench AI 1.6.1 for iOS AArch64
Result Information
| User | barmanracing |
| Upload Date | January 27 2026 07:35 AM |
| Views | 7 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple A16 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 26.3 |
| 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% |
1645
306.0 IPS |
|
|
Image Classification (HP)
|
100% |
1661
308.9 IPS |
|
|
Image Classification (Q)
|
94% |
1694
316.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
2842
46.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
2900
47.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
2777
45.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
11805
13.8 IPS |
|
|
Pose Estimation (HP)
|
100% |
12961
15.1 IPS |
|
|
Pose Estimation (Q)
|
96% |
12463
14.6 IPS |
|
|
Object Detection (SP)
|
100% |
1978
156.9 IPS |
|
|
Object Detection (HP)
|
100% |
2030
161.0 IPS |
|
|
Object Detection (Q)
|
90% |
1847
147.7 IPS |
|
|
Face Detection (SP)
|
100% |
5744
68.3 IPS |
|
|
Face Detection (HP)
|
100% |
6496
77.2 IPS |
|
|
Face Detection (Q)
|
100% |
5101
60.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
8627
66.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
9178
70.7 IPS |
|
|
Depth Estimation (Q)
|
85% |
8356
65.4 IPS |
|
|
Style Transfer (SP)
|
100% |
21464
27.6 IPS |
|
|
Style Transfer (HP)
|
100% |
24325
31.3 IPS |
|
|
Style Transfer (Q)
|
96% |
23672
30.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4864
179.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
5053
186.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4332
160.0 IPS |
|
|
Text Classification (SP)
|
100% |
2797
3.73 KIPS |
|
|
Text Classification (HP)
|
99% |
4717
6.30 KIPS |
|
|
Text Classification (Q)
|
93% |
4700
6.31 KIPS |
|
|
Machine Translation (SP)
|
100% |
997
17.2 IPS |
|
|
Machine Translation (HP)
|
100% |
1049
18.1 IPS |
|
|
Machine Translation (Q)
|
98% |
995
17.2 IPS |
