iPhone 14 Pro
Geekbench AI Score
3609
Single Precision Score
6282
Half Precision Score
5130
Quantized Score
Geekbench AI 1.4.0 for iOS AArch64
Result Information
| User | HeyJude5 |
| Upload Date | August 21 2025 10:53 AM |
| Views | 8 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple A16 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 26.0 |
| 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% |
1381
256.8 IPS |
|
|
Image Classification (HP)
|
100% |
2639
490.8 IPS |
|
|
Image Classification (Q)
|
96% |
1810
338.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
1431
23.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
2137
34.6 IPS |
|
|
Image Segmentation (Q)
|
99% |
2676
43.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
7129
8.32 IPS |
|
|
Pose Estimation (HP)
|
100% |
15667
18.3 IPS |
|
|
Pose Estimation (Q)
|
95% |
13389
15.7 IPS |
|
|
Object Detection (SP)
|
100% |
1593
126.3 IPS |
|
|
Object Detection (HP)
|
97% |
2944
234.4 IPS |
|
|
Object Detection (Q)
|
94% |
2117
168.7 IPS |
|
|
Face Detection (SP)
|
100% |
3281
39.0 IPS |
|
|
Face Detection (HP)
|
100% |
6139
72.9 IPS |
|
|
Face Detection (Q)
|
100% |
3515
41.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
6110
47.1 IPS |
|
|
Depth Estimation (HP)
|
98% |
11739
90.7 IPS |
|
|
Depth Estimation (Q)
|
85% |
8161
63.8 IPS |
|
|
Style Transfer (SP)
|
100% |
19238
24.7 IPS |
|
|
Style Transfer (HP)
|
100% |
29883
38.4 IPS |
|
|
Style Transfer (Q)
|
96% |
24777
32.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4097
151.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
5077
187.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3880
143.3 IPS |
|
|
Text Classification (SP)
|
100% |
2800
3.74 KIPS |
|
|
Text Classification (HP)
|
99% |
4739
6.33 KIPS |
|
|
Text Classification (Q)
|
93% |
4699
6.31 KIPS |
|
|
Machine Translation (SP)
|
100% |
3784
65.2 IPS |
|
|
Machine Translation (HP)
|
98% |
7110
122.9 IPS |
|
|
Machine Translation (Q)
|
98% |
7108
122.8 IPS |
