iPhone 14 Pro
Geekbench AI Score
3610
Single Precision Score
22591
Half Precision Score
26068
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| Upload Date | June 26 2025 11:17 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple A16 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 19.0 |
| 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% |
1389
258.3 IPS |
|
|
Image Classification (HP)
|
100% |
9120
1.70 KIPS |
|
|
Image Classification (Q)
|
97% |
10533
1.97 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1435
23.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
16071
260.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
18905
306.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
7130
8.32 IPS |
|
|
Pose Estimation (HP)
|
100% |
94918
110.8 IPS |
|
|
Pose Estimation (Q)
|
95% |
101491
119.0 IPS |
|
|
Object Detection (SP)
|
100% |
1588
126.0 IPS |
|
|
Object Detection (HP)
|
100% |
12765
1.01 KIPS |
|
|
Object Detection (Q)
|
91% |
14252
1.14 KIPS |
|
|
Face Detection (SP)
|
100% |
3221
38.3 IPS |
|
|
Face Detection (HP)
|
100% |
26377
313.4 IPS |
|
|
Face Detection (Q)
|
100% |
39333
467.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
6081
46.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
74566
574.5 IPS |
|
|
Depth Estimation (Q)
|
85% |
90444
707.1 IPS |
|
|
Style Transfer (SP)
|
100% |
19268
24.8 IPS |
|
|
Style Transfer (HP)
|
100% |
164044
210.9 IPS |
|
|
Style Transfer (Q)
|
96% |
170333
219.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4120
152.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
32213
1.19 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
34945
1.29 KIPS |
|
|
Text Classification (SP)
|
100% |
2870
3.83 KIPS |
|
|
Text Classification (HP)
|
100% |
2682
3.58 KIPS |
|
|
Text Classification (Q)
|
93% |
2848
3.82 KIPS |
|
|
Machine Translation (SP)
|
100% |
3738
64.4 IPS |
|
|
Machine Translation (HP)
|
100% |
6997
120.5 IPS |
|
|
Machine Translation (Q)
|
98% |
8344
144.2 IPS |
