iPhone 14 Pro
Geekbench AI Score
3422
Single Precision Score
15421
Half Precision Score
17869
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| User | szaki |
| Upload Date | October 25 2025 10:31 PM |
| Views | 10 |
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% |
1353
251.6 IPS |
|
|
Image Classification (HP)
|
100% |
7090
1.32 KIPS |
|
|
Image Classification (Q)
|
97% |
7817
1.46 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1381
22.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
13529
219.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
17562
284.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
6444
7.52 IPS |
|
|
Pose Estimation (HP)
|
100% |
88991
103.8 IPS |
|
|
Pose Estimation (Q)
|
95% |
88334
103.5 IPS |
|
|
Object Detection (SP)
|
100% |
1453
115.2 IPS |
|
|
Object Detection (HP)
|
100% |
5898
467.8 IPS |
|
|
Object Detection (Q)
|
91% |
7868
628.7 IPS |
|
|
Face Detection (SP)
|
100% |
3173
37.7 IPS |
|
|
Face Detection (HP)
|
100% |
21958
260.9 IPS |
|
|
Face Detection (Q)
|
100% |
28637
340.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
5936
45.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
33100
255.0 IPS |
|
|
Depth Estimation (Q)
|
85% |
50049
391.3 IPS |
|
|
Style Transfer (SP)
|
100% |
18730
24.1 IPS |
|
|
Style Transfer (HP)
|
100% |
129364
166.3 IPS |
|
|
Style Transfer (Q)
|
96% |
129279
166.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3896
143.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
15980
590.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
17911
661.4 IPS |
|
|
Text Classification (SP)
|
100% |
2708
3.61 KIPS |
|
|
Text Classification (HP)
|
100% |
1490
1.99 KIPS |
|
|
Text Classification (Q)
|
93% |
1500
2.01 KIPS |
|
|
Machine Translation (SP)
|
100% |
3383
58.3 IPS |
|
|
Machine Translation (HP)
|
100% |
6749
116.3 IPS |
|
|
Machine Translation (Q)
|
98% |
6991
120.8 IPS |
