iPhone 14 Pro
Geekbench AI Score
3425
Single Precision Score
21297
Half Precision Score
24321
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | November 15 2025 03:14 AM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple A16 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 26.1 |
| 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% |
1312
244.1 IPS |
|
|
Image Classification (HP)
|
100% |
6652
1.24 KIPS |
|
|
Image Classification (Q)
|
97% |
10988
2.05 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1383
22.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
16265
263.7 IPS |
|
|
Image Segmentation (Q)
|
99% |
19025
308.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
6589
7.69 IPS |
|
|
Pose Estimation (HP)
|
100% |
98748
115.2 IPS |
|
|
Pose Estimation (Q)
|
95% |
101659
119.2 IPS |
|
|
Object Detection (SP)
|
100% |
1479
117.3 IPS |
|
|
Object Detection (HP)
|
100% |
10505
833.3 IPS |
|
|
Object Detection (Q)
|
91% |
12418
992.2 IPS |
|
|
Face Detection (SP)
|
100% |
3134
37.2 IPS |
|
|
Face Detection (HP)
|
100% |
31623
375.8 IPS |
|
|
Face Detection (Q)
|
100% |
40214
477.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
5874
45.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
59985
462.1 IPS |
|
|
Depth Estimation (Q)
|
85% |
75112
587.3 IPS |
|
|
Style Transfer (SP)
|
100% |
18763
24.1 IPS |
|
|
Style Transfer (HP)
|
100% |
162257
208.6 IPS |
|
|
Style Transfer (Q)
|
96% |
168709
217.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3878
143.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
33226
1.23 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
28585
1.06 KIPS |
|
|
Text Classification (SP)
|
100% |
2770
3.70 KIPS |
|
|
Text Classification (HP)
|
100% |
2268
3.03 KIPS |
|
|
Text Classification (Q)
|
93% |
2254
3.02 KIPS |
|
|
Machine Translation (SP)
|
100% |
3389
58.4 IPS |
|
|
Machine Translation (HP)
|
100% |
7374
127.0 IPS |
|
|
Machine Translation (Q)
|
98% |
8359
144.4 IPS |
