iPhone 14 Pro
Geekbench AI Score
3345
Single Precision Score
22557
Half Precision Score
25825
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| User | Chris Sack |
| Upload Date | September 27 2025 12:58 AM |
| Views | 6 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| 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% |
1307
243.1 IPS |
|
|
Image Classification (HP)
|
100% |
8972
1.67 KIPS |
|
|
Image Classification (Q)
|
97% |
11481
2.14 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1376
22.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
15520
251.6 IPS |
|
|
Image Segmentation (Q)
|
99% |
19012
308.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
6058
7.07 IPS |
|
|
Pose Estimation (HP)
|
100% |
97497
113.8 IPS |
|
|
Pose Estimation (Q)
|
95% |
102516
120.2 IPS |
|
|
Object Detection (SP)
|
100% |
1444
114.6 IPS |
|
|
Object Detection (HP)
|
100% |
12288
974.7 IPS |
|
|
Object Detection (Q)
|
91% |
13761
1.10 KIPS |
|
|
Face Detection (SP)
|
100% |
3031
36.0 IPS |
|
|
Face Detection (HP)
|
100% |
31267
371.5 IPS |
|
|
Face Detection (Q)
|
100% |
39282
466.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
5803
44.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
70593
543.9 IPS |
|
|
Depth Estimation (Q)
|
85% |
89135
696.9 IPS |
|
|
Style Transfer (SP)
|
100% |
17686
22.7 IPS |
|
|
Style Transfer (HP)
|
100% |
169970
218.5 IPS |
|
|
Style Transfer (Q)
|
96% |
168622
217.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3812
140.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
32309
1.19 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
35982
1.33 KIPS |
|
|
Text Classification (SP)
|
100% |
2783
3.71 KIPS |
|
|
Text Classification (HP)
|
100% |
2323
3.10 KIPS |
|
|
Text Classification (Q)
|
93% |
2426
3.26 KIPS |
|
|
Machine Translation (SP)
|
100% |
3384
58.3 IPS |
|
|
Machine Translation (HP)
|
100% |
7262
125.1 IPS |
|
|
Machine Translation (Q)
|
98% |
8317
143.7 IPS |
