iPhone 14 Pro
Geekbench AI Score
3496
Single Precision Score
22790
Half Precision Score
26426
Quantized Score
Geekbench AI 1.4.0 for iOS AArch64
Result Information
| User | y561994 |
| Upload Date | July 06 2025 10:53 AM |
| Views | 9 |
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% |
9625
1.79 KIPS |
|
|
Image Classification (Q)
|
97% |
11650
2.17 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1428
23.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
14304
231.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
18798
304.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
6396
7.46 IPS |
|
|
Pose Estimation (HP)
|
100% |
95407
111.3 IPS |
|
|
Pose Estimation (Q)
|
95% |
100905
118.3 IPS |
|
|
Object Detection (SP)
|
100% |
1543
122.4 IPS |
|
|
Object Detection (HP)
|
100% |
11886
942.8 IPS |
|
|
Object Detection (Q)
|
91% |
14480
1.16 KIPS |
|
|
Face Detection (SP)
|
100% |
3067
36.4 IPS |
|
|
Face Detection (HP)
|
100% |
30763
365.5 IPS |
|
|
Face Detection (Q)
|
100% |
39978
475.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
5890
45.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
70834
545.7 IPS |
|
|
Depth Estimation (Q)
|
85% |
89706
701.4 IPS |
|
|
Style Transfer (SP)
|
100% |
17820
22.9 IPS |
|
|
Style Transfer (HP)
|
100% |
167377
215.2 IPS |
|
|
Style Transfer (Q)
|
96% |
166511
214.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4066
150.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
33062
1.22 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
37986
1.40 KIPS |
|
|
Text Classification (SP)
|
100% |
2909
3.88 KIPS |
|
|
Text Classification (HP)
|
100% |
2740
3.66 KIPS |
|
|
Text Classification (Q)
|
93% |
2759
3.70 KIPS |
|
|
Machine Translation (SP)
|
100% |
3667
63.2 IPS |
|
|
Machine Translation (HP)
|
100% |
7328
126.2 IPS |
|
|
Machine Translation (Q)
|
98% |
8296
143.4 IPS |
