iPhone 13 Pro
Geekbench AI Score
4028
Single Precision Score
4531
Half Precision Score
4311
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | December 14 2025 09:32 AM |
| Views | 4 |
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% |
1703
316.7 IPS |
|
|
Image Classification (HP)
|
100% |
1736
322.8 IPS |
|
|
Image Classification (Q)
|
96% |
1722
321.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
2822
45.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
2946
47.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
2783
45.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
11295
13.2 IPS |
|
|
Pose Estimation (HP)
|
100% |
12812
14.9 IPS |
|
|
Pose Estimation (Q)
|
96% |
12559
14.7 IPS |
|
|
Object Detection (SP)
|
100% |
1966
155.9 IPS |
|
|
Object Detection (HP)
|
100% |
2002
158.8 IPS |
|
|
Object Detection (Q)
|
92% |
1850
147.7 IPS |
|
|
Face Detection (SP)
|
100% |
4948
58.8 IPS |
|
|
Face Detection (HP)
|
100% |
6227
74.0 IPS |
|
|
Face Detection (Q)
|
100% |
5040
59.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
8500
65.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
9265
71.4 IPS |
|
|
Depth Estimation (Q)
|
86% |
8484
66.3 IPS |
|
|
Style Transfer (SP)
|
100% |
18558
23.9 IPS |
|
|
Style Transfer (HP)
|
100% |
23180
29.8 IPS |
|
|
Style Transfer (Q)
|
96% |
22925
29.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4929
182.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
5121
189.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4513
166.6 IPS |
|
|
Text Classification (SP)
|
100% |
2587
3.45 KIPS |
|
|
Text Classification (HP)
|
99% |
4177
5.58 KIPS |
|
|
Text Classification (Q)
|
93% |
4169
5.59 KIPS |
|
|
Machine Translation (SP)
|
100% |
1061
18.3 IPS |
|
|
Machine Translation (HP)
|
100% |
973
16.8 IPS |
|
|
Machine Translation (Q)
|
98% |
1080
18.7 IPS |
