iPhone 13 Pro
Geekbench AI Score
4036
Single Precision Score
4521
Half Precision Score
4211
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| User | Pijiuhua |
| Upload Date | November 04 2025 10:42 PM |
| Views | 6 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple A15 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 26.1 |
| Model | iPhone 13 Pro |
| Model ID | iPhone14,2 |
| Motherboard | D63AP |
| CPU Information | |
|---|---|
| Name | Apple A15 Bionic |
| Topology | 1 Processor, 6 Cores |
| Identifier | ARM |
| Base Frequency | 3.23 GHz |
| Cluster 1 | 2 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 5.53 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1575
292.9 IPS |
|
|
Image Classification (HP)
|
100% |
1671
310.7 IPS |
|
|
Image Classification (Q)
|
96% |
1627
303.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
2827
45.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
2880
46.7 IPS |
|
|
Image Segmentation (Q)
|
99% |
2763
44.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
11304
13.2 IPS |
|
|
Pose Estimation (HP)
|
100% |
12931
15.1 IPS |
|
|
Pose Estimation (Q)
|
96% |
12360
14.5 IPS |
|
|
Object Detection (SP)
|
100% |
1980
157.0 IPS |
|
|
Object Detection (HP)
|
100% |
1984
157.4 IPS |
|
|
Object Detection (Q)
|
92% |
1841
146.9 IPS |
|
|
Face Detection (SP)
|
100% |
5026
59.7 IPS |
|
|
Face Detection (HP)
|
100% |
6243
74.2 IPS |
|
|
Face Detection (Q)
|
100% |
4879
58.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
8570
66.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
9252
71.3 IPS |
|
|
Depth Estimation (Q)
|
86% |
8489
66.3 IPS |
|
|
Style Transfer (SP)
|
100% |
18831
24.2 IPS |
|
|
Style Transfer (HP)
|
100% |
23704
30.5 IPS |
|
|
Style Transfer (Q)
|
96% |
23094
29.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5013
185.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
5061
186.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4444
164.1 IPS |
|
|
Text Classification (SP)
|
100% |
2571
3.43 KIPS |
|
|
Text Classification (HP)
|
99% |
4126
5.51 KIPS |
|
|
Text Classification (Q)
|
93% |
4102
5.51 KIPS |
|
|
Machine Translation (SP)
|
100% |
1103
19.0 IPS |
|
|
Machine Translation (HP)
|
100% |
1012
17.4 IPS |
|
|
Machine Translation (Q)
|
98% |
984
17.0 IPS |
