iPhone 14 Pro
Geekbench AI Score
3507
Single Precision Score
6194
Half Precision Score
5027
Quantized Score
Geekbench AI 1.4.0 for iOS AArch64
Result Information
| User | JunkIce |
| Upload Date | July 30 2025 12:44 AM |
| Views | 8 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple A16 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 18.5 |
| 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% |
1406
261.5 IPS |
|
|
Image Classification (HP)
|
100% |
2561
476.2 IPS |
|
|
Image Classification (Q)
|
96% |
1762
329.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
1423
23.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
2128
34.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
2648
42.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
6653
7.76 IPS |
|
|
Pose Estimation (HP)
|
100% |
15250
17.8 IPS |
|
|
Pose Estimation (Q)
|
95% |
12705
14.9 IPS |
|
|
Object Detection (SP)
|
100% |
1568
124.4 IPS |
|
|
Object Detection (HP)
|
97% |
2922
232.6 IPS |
|
|
Object Detection (Q)
|
94% |
2072
165.2 IPS |
|
|
Face Detection (SP)
|
100% |
3093
36.8 IPS |
|
|
Face Detection (HP)
|
100% |
5970
70.9 IPS |
|
|
Face Detection (Q)
|
100% |
3444
40.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
6020
46.4 IPS |
|
|
Depth Estimation (HP)
|
98% |
11606
89.7 IPS |
|
|
Depth Estimation (Q)
|
85% |
8029
62.8 IPS |
|
|
Style Transfer (SP)
|
100% |
17979
23.1 IPS |
|
|
Style Transfer (HP)
|
100% |
29351
37.7 IPS |
|
|
Style Transfer (Q)
|
96% |
24388
31.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4103
151.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
5279
194.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3899
144.0 IPS |
|
|
Text Classification (SP)
|
100% |
2714
3.62 KIPS |
|
|
Text Classification (HP)
|
100% |
4863
6.49 KIPS |
|
|
Text Classification (Q)
|
93% |
4851
6.51 KIPS |
|
|
Machine Translation (SP)
|
100% |
3620
62.4 IPS |
|
|
Machine Translation (HP)
|
98% |
6557
113.3 IPS |
|
|
Machine Translation (Q)
|
98% |
6589
113.9 IPS |
