iPhone 14 Pro
Geekbench AI Score
4183
Single Precision Score
4563
Half Precision Score
4274
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| User | over_time_ |
| Upload Date | May 24 2025 06:06 PM |
| Views | 9 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| 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% |
1669
310.5 IPS |
|
|
Image Classification (HP)
|
100% |
1496
278.3 IPS |
|
|
Image Classification (Q)
|
96% |
1674
312.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
2881
46.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
2924
47.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
2803
45.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
11760
13.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
12766
14.9 IPS |
|
|
Pose Estimation (Q)
|
96% |
12389
14.5 IPS |
|
|
Object Detection (SP)
|
100% |
2007
159.2 IPS |
|
|
Object Detection (HP)
|
100% |
1923
152.5 IPS |
|
|
Object Detection (Q)
|
92% |
1747
139.4 IPS |
|
|
Face Detection (SP)
|
100% |
5299
63.0 IPS |
|
|
Face Detection (HP)
|
100% |
6288
74.7 IPS |
|
|
Face Detection (Q)
|
100% |
5080
60.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
8609
66.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
9024
69.5 IPS |
|
|
Depth Estimation (Q)
|
86% |
8288
64.7 IPS |
|
|
Style Transfer (SP)
|
100% |
21371
27.5 IPS |
|
|
Style Transfer (HP)
|
100% |
24292
31.2 IPS |
|
|
Style Transfer (Q)
|
96% |
23594
30.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4852
179.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
5114
188.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4212
155.5 IPS |
|
|
Text Classification (SP)
|
100% |
2670
3.56 KIPS |
|
|
Text Classification (HP)
|
100% |
4804
6.41 KIPS |
|
|
Text Classification (Q)
|
93% |
4757
6.38 KIPS |
|
|
Machine Translation (SP)
|
100% |
1145
19.7 IPS |
|
|
Machine Translation (HP)
|
100% |
1077
18.5 IPS |
|
|
Machine Translation (Q)
|
98% |
1008
17.4 IPS |
