iPhone 13 Pro
Geekbench AI Score
3927
Single Precision Score
4517
Half Precision Score
4303
Quantized Score
Geekbench AI 1.6.1 for iOS AArch64
Result Information
| User | Pijiuhua |
| Upload Date | January 28 2026 11:04 PM |
| Views | 9 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple A15 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 26.2.1 |
| 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% |
1314
244.4 IPS |
|
|
Image Classification (HP)
|
100% |
1626
302.5 IPS |
|
|
Image Classification (Q)
|
96% |
1634
305.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
2841
46.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
2954
47.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
2783
45.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
11318
13.2 IPS |
|
|
Pose Estimation (HP)
|
100% |
12680
14.8 IPS |
|
|
Pose Estimation (Q)
|
96% |
12364
14.5 IPS |
|
|
Object Detection (SP)
|
100% |
1933
153.3 IPS |
|
|
Object Detection (HP)
|
100% |
2002
158.8 IPS |
|
|
Object Detection (Q)
|
92% |
1854
148.0 IPS |
|
|
Face Detection (SP)
|
100% |
4897
58.2 IPS |
|
|
Face Detection (HP)
|
100% |
6110
72.6 IPS |
|
|
Face Detection (Q)
|
100% |
4975
59.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
8518
65.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
9303
71.7 IPS |
|
|
Depth Estimation (Q)
|
86% |
8863
69.2 IPS |
|
|
Style Transfer (SP)
|
100% |
18468
23.7 IPS |
|
|
Style Transfer (HP)
|
100% |
23365
30.0 IPS |
|
|
Style Transfer (Q)
|
96% |
22985
29.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5013
185.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
5126
189.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4523
167.0 IPS |
|
|
Text Classification (SP)
|
100% |
2571
3.43 KIPS |
|
|
Text Classification (HP)
|
99% |
4293
5.73 KIPS |
|
|
Text Classification (Q)
|
93% |
4190
5.62 KIPS |
|
|
Machine Translation (SP)
|
100% |
1077
18.5 IPS |
|
|
Machine Translation (HP)
|
100% |
993
17.1 IPS |
|
|
Machine Translation (Q)
|
98% |
1087
18.8 IPS |
