iPhone 14 Pro
Geekbench AI Score
3477
Single Precision Score
23195
Half Precision Score
26815
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| User | y561994 |
| Upload Date | March 10 2025 03:12 AM |
| Views | 6 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple A16 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 18.4 |
| 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% |
1376
255.9 IPS |
|
|
Image Classification (HP)
|
100% |
10066
1.87 KIPS |
|
|
Image Classification (Q)
|
97% |
11853
2.21 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1416
23.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
15949
258.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
19092
309.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
6442
7.52 IPS |
|
|
Pose Estimation (HP)
|
100% |
99276
115.8 IPS |
|
|
Pose Estimation (Q)
|
95% |
104990
123.1 IPS |
|
|
Object Detection (SP)
|
100% |
1578
125.1 IPS |
|
|
Object Detection (HP)
|
100% |
12786
1.01 KIPS |
|
|
Object Detection (Q)
|
91% |
14562
1.16 KIPS |
|
|
Face Detection (SP)
|
100% |
3133
37.2 IPS |
|
|
Face Detection (HP)
|
100% |
31938
379.5 IPS |
|
|
Face Detection (Q)
|
100% |
41248
490.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
6000
46.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
75525
581.9 IPS |
|
|
Depth Estimation (Q)
|
85% |
96303
752.9 IPS |
|
|
Style Transfer (SP)
|
100% |
18076
23.2 IPS |
|
|
Style Transfer (HP)
|
100% |
169841
218.3 IPS |
|
|
Style Transfer (Q)
|
96% |
168877
217.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3996
147.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
32931
1.22 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
37028
1.37 KIPS |
|
|
Text Classification (SP)
|
100% |
2684
3.58 KIPS |
|
|
Text Classification (HP)
|
100% |
2162
2.89 KIPS |
|
|
Text Classification (Q)
|
93% |
2681
3.60 KIPS |
|
|
Machine Translation (SP)
|
100% |
3588
61.8 IPS |
|
|
Machine Translation (HP)
|
100% |
7586
130.7 IPS |
|
|
Machine Translation (Q)
|
98% |
8344
144.2 IPS |
