iPhone 14 Pro
Geekbench AI Score
3490
Single Precision Score
22459
Half Precision Score
24664
Quantized Score
Geekbench AI 1.4.0 for iOS AArch64
Result Information
| User | y561994 |
| Upload Date | July 06 2025 10:56 AM |
| Views | 8 |
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% |
1371
254.9 IPS |
|
|
Image Classification (HP)
|
100% |
9454
1.76 KIPS |
|
|
Image Classification (Q)
|
97% |
11313
2.11 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1422
23.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
15747
255.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
18871
305.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
6242
7.28 IPS |
|
|
Pose Estimation (HP)
|
100% |
98090
114.5 IPS |
|
|
Pose Estimation (Q)
|
95% |
102953
120.7 IPS |
|
|
Object Detection (SP)
|
100% |
1563
124.0 IPS |
|
|
Object Detection (HP)
|
100% |
11970
949.4 IPS |
|
|
Object Detection (Q)
|
91% |
14229
1.14 KIPS |
|
|
Face Detection (SP)
|
100% |
3082
36.6 IPS |
|
|
Face Detection (HP)
|
100% |
30479
362.2 IPS |
|
|
Face Detection (Q)
|
100% |
39716
471.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
5902
45.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
70331
541.9 IPS |
|
|
Depth Estimation (Q)
|
85% |
88681
693.3 IPS |
|
|
Style Transfer (SP)
|
100% |
18110
23.3 IPS |
|
|
Style Transfer (HP)
|
100% |
169758
218.2 IPS |
|
|
Style Transfer (Q)
|
96% |
170662
220.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4053
149.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
32947
1.22 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
36971
1.37 KIPS |
|
|
Text Classification (SP)
|
100% |
2879
3.84 KIPS |
|
|
Text Classification (HP)
|
100% |
2160
2.88 KIPS |
|
|
Text Classification (Q)
|
93% |
1444
1.94 KIPS |
|
|
Machine Translation (SP)
|
100% |
3668
63.2 IPS |
|
|
Machine Translation (HP)
|
100% |
7216
124.3 IPS |
|
|
Machine Translation (Q)
|
98% |
8303
143.5 IPS |
