iPhone 13 Pro
Geekbench AI Score
4012
Single Precision Score
4522
Half Precision Score
4269
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | October 26 2025 02:55 AM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple A15 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 26.0 |
| 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% |
1611
299.7 IPS |
|
|
Image Classification (HP)
|
100% |
1435
266.9 IPS |
|
|
Image Classification (Q)
|
96% |
1644
307.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
2844
46.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
2972
48.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
2805
45.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
11195
13.1 IPS |
|
|
Pose Estimation (HP)
|
100% |
12773
14.9 IPS |
|
|
Pose Estimation (Q)
|
96% |
12188
14.3 IPS |
|
|
Object Detection (SP)
|
100% |
1927
152.8 IPS |
|
|
Object Detection (HP)
|
100% |
2090
165.8 IPS |
|
|
Object Detection (Q)
|
92% |
1829
146.0 IPS |
|
|
Face Detection (SP)
|
100% |
5039
59.9 IPS |
|
|
Face Detection (HP)
|
100% |
6415
76.2 IPS |
|
|
Face Detection (Q)
|
100% |
5130
61.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
8739
67.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
9705
74.8 IPS |
|
|
Depth Estimation (Q)
|
86% |
8723
68.1 IPS |
|
|
Style Transfer (SP)
|
100% |
18727
24.1 IPS |
|
|
Style Transfer (HP)
|
100% |
23379
30.1 IPS |
|
|
Style Transfer (Q)
|
96% |
22660
29.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4670
172.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4776
176.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4415
163.0 IPS |
|
|
Text Classification (SP)
|
100% |
2604
3.48 KIPS |
|
|
Text Classification (HP)
|
99% |
4187
5.59 KIPS |
|
|
Text Classification (Q)
|
93% |
4205
5.64 KIPS |
|
|
Machine Translation (SP)
|
100% |
1091
18.8 IPS |
|
|
Machine Translation (HP)
|
100% |
1081
18.6 IPS |
|
|
Machine Translation (Q)
|
98% |
1041
18.0 IPS |
