iPhone 14 Pro
Geekbench AI Score
4143
Single Precision Score
4564
Half Precision Score
4321
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| User | robertdb3 |
| Upload Date | May 25 2025 05:20 AM |
| Views | 15 |
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% |
1749
325.3 IPS |
|
|
Image Classification (HP)
|
100% |
1616
300.5 IPS |
|
|
Image Classification (Q)
|
96% |
1682
314.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
2816
45.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
2938
47.6 IPS |
|
|
Image Segmentation (Q)
|
99% |
2798
45.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
11758
13.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
12802
14.9 IPS |
|
|
Pose Estimation (Q)
|
96% |
12423
14.6 IPS |
|
|
Object Detection (SP)
|
100% |
1979
156.9 IPS |
|
|
Object Detection (HP)
|
100% |
1906
151.2 IPS |
|
|
Object Detection (Q)
|
92% |
1763
140.7 IPS |
|
|
Face Detection (SP)
|
100% |
5345
63.5 IPS |
|
|
Face Detection (HP)
|
100% |
6334
75.3 IPS |
|
|
Face Detection (Q)
|
100% |
5111
60.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
8540
65.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
8986
69.2 IPS |
|
|
Depth Estimation (Q)
|
86% |
8259
64.5 IPS |
|
|
Style Transfer (SP)
|
100% |
21284
27.4 IPS |
|
|
Style Transfer (HP)
|
100% |
24254
31.2 IPS |
|
|
Style Transfer (Q)
|
96% |
23589
30.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4845
178.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4981
183.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4325
159.7 IPS |
|
|
Text Classification (SP)
|
100% |
2679
3.58 KIPS |
|
|
Text Classification (HP)
|
100% |
4788
6.39 KIPS |
|
|
Text Classification (Q)
|
93% |
4784
6.42 KIPS |
|
|
Machine Translation (SP)
|
100% |
1031
17.8 IPS |
|
|
Machine Translation (HP)
|
100% |
1029
17.7 IPS |
|
|
Machine Translation (Q)
|
98% |
1070
18.5 IPS |
