iPhone 14 Pro
Geekbench AI Score
3365
Single Precision Score
23061
Half Precision Score
26424
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| User | bgh0809 |
| Upload Date | October 12 2025 08:52 PM |
| Views | 11 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple A16 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 26.0.1 |
| 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% |
1311
243.9 IPS |
|
|
Image Classification (HP)
|
100% |
10407
1.94 KIPS |
|
|
Image Classification (Q)
|
97% |
12407
2.32 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1389
22.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
15357
249.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
18796
304.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
5801
6.77 IPS |
|
|
Pose Estimation (HP)
|
100% |
98463
114.9 IPS |
|
|
Pose Estimation (Q)
|
95% |
101745
119.3 IPS |
|
|
Object Detection (SP)
|
100% |
1455
115.4 IPS |
|
|
Object Detection (HP)
|
100% |
11861
940.8 IPS |
|
|
Object Detection (Q)
|
91% |
14283
1.14 KIPS |
|
|
Face Detection (SP)
|
100% |
3159
37.5 IPS |
|
|
Face Detection (HP)
|
100% |
29783
353.9 IPS |
|
|
Face Detection (Q)
|
100% |
39569
470.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
5878
45.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
72685
560.0 IPS |
|
|
Depth Estimation (Q)
|
85% |
92769
725.3 IPS |
|
|
Style Transfer (SP)
|
100% |
18228
23.4 IPS |
|
|
Style Transfer (HP)
|
100% |
170846
219.6 IPS |
|
|
Style Transfer (Q)
|
96% |
172345
222.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3929
145.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
32372
1.20 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
36642
1.35 KIPS |
|
|
Text Classification (SP)
|
100% |
2714
3.62 KIPS |
|
|
Text Classification (HP)
|
100% |
2501
3.34 KIPS |
|
|
Text Classification (Q)
|
93% |
2570
3.45 KIPS |
|
|
Machine Translation (SP)
|
100% |
3362
57.9 IPS |
|
|
Machine Translation (HP)
|
100% |
7613
131.1 IPS |
|
|
Machine Translation (Q)
|
98% |
8221
142.1 IPS |
