iPhone 14 Pro
Geekbench AI Score
4234
Single Precision Score
4654
Half Precision Score
4350
Quantized Score
Geekbench AI 1.4.0 for iOS AArch64
Result Information
| User | JunkIce |
| Upload Date | July 30 2025 12:34 AM |
| Views | 5 |
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% |
1774
329.9 IPS |
|
|
Image Classification (HP)
|
100% |
1581
294.0 IPS |
|
|
Image Classification (Q)
|
96% |
1649
307.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
2859
46.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
2958
48.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
2835
46.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
11765
13.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
12863
15.0 IPS |
|
|
Pose Estimation (Q)
|
96% |
12539
14.7 IPS |
|
|
Object Detection (SP)
|
100% |
2035
161.4 IPS |
|
|
Object Detection (HP)
|
100% |
1958
155.3 IPS |
|
|
Object Detection (Q)
|
92% |
1790
142.9 IPS |
|
|
Face Detection (SP)
|
100% |
5395
64.1 IPS |
|
|
Face Detection (HP)
|
100% |
6240
74.1 IPS |
|
|
Face Detection (Q)
|
100% |
5189
61.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
8663
66.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
9204
70.9 IPS |
|
|
Depth Estimation (Q)
|
86% |
8503
66.4 IPS |
|
|
Style Transfer (SP)
|
100% |
21405
27.5 IPS |
|
|
Style Transfer (HP)
|
100% |
24237
31.2 IPS |
|
|
Style Transfer (Q)
|
96% |
23487
30.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5048
186.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
5118
189.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4495
166.0 IPS |
|
|
Text Classification (SP)
|
100% |
2729
3.64 KIPS |
|
|
Text Classification (HP)
|
100% |
4849
6.47 KIPS |
|
|
Text Classification (Q)
|
93% |
4828
6.48 KIPS |
|
|
Machine Translation (SP)
|
100% |
1107
19.1 IPS |
|
|
Machine Translation (HP)
|
100% |
1173
20.2 IPS |
|
|
Machine Translation (Q)
|
98% |
1029
17.8 IPS |
