iPhone 13 Pro
Geekbench AI Score
3974
Single Precision Score
4611
Half Precision Score
4216
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| User | Pijiuhua |
| Upload Date | October 21 2025 07:57 PM |
| Views | 7 |
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% |
1557
289.5 IPS |
|
|
Image Classification (HP)
|
100% |
1568
291.7 IPS |
|
|
Image Classification (Q)
|
96% |
1533
286.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
2813
45.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
2980
48.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
2836
46.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
11351
13.2 IPS |
|
|
Pose Estimation (HP)
|
100% |
12819
15.0 IPS |
|
|
Pose Estimation (Q)
|
96% |
12369
14.5 IPS |
|
|
Object Detection (SP)
|
100% |
1951
154.8 IPS |
|
|
Object Detection (HP)
|
100% |
2080
165.0 IPS |
|
|
Object Detection (Q)
|
92% |
1788
142.7 IPS |
|
|
Face Detection (SP)
|
100% |
4966
59.0 IPS |
|
|
Face Detection (HP)
|
100% |
6432
76.4 IPS |
|
|
Face Detection (Q)
|
100% |
5134
61.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
8745
67.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
9344
72.0 IPS |
|
|
Depth Estimation (Q)
|
86% |
8566
66.9 IPS |
|
|
Style Transfer (SP)
|
100% |
18726
24.1 IPS |
|
|
Style Transfer (HP)
|
100% |
23814
30.6 IPS |
|
|
Style Transfer (Q)
|
96% |
22912
29.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4817
177.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4657
172.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4322
159.6 IPS |
|
|
Text Classification (SP)
|
100% |
2596
3.46 KIPS |
|
|
Text Classification (HP)
|
99% |
4139
5.52 KIPS |
|
|
Text Classification (Q)
|
93% |
4129
5.54 KIPS |
|
|
Machine Translation (SP)
|
100% |
996
17.2 IPS |
|
|
Machine Translation (HP)
|
100% |
1266
21.8 IPS |
|
|
Machine Translation (Q)
|
98% |
1028
17.8 IPS |
