iPhone 13 Pro
Geekbench AI Score
4012
Single Precision Score
4606
Half Precision Score
4367
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| User | Pijiuhua |
| Upload Date | December 07 2025 02:08 PM |
| Views | 5 |
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% |
1696
315.4 IPS |
|
|
Image Classification (HP)
|
100% |
1702
316.5 IPS |
|
|
Image Classification (Q)
|
96% |
1699
317.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
2834
45.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
2976
48.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
2861
46.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
11517
13.4 IPS |
|
|
Pose Estimation (HP)
|
100% |
13089
15.3 IPS |
|
|
Pose Estimation (Q)
|
96% |
12645
14.8 IPS |
|
|
Object Detection (SP)
|
100% |
1945
154.2 IPS |
|
|
Object Detection (HP)
|
100% |
2001
158.7 IPS |
|
|
Object Detection (Q)
|
92% |
1822
145.4 IPS |
|
|
Face Detection (SP)
|
100% |
4925
58.5 IPS |
|
|
Face Detection (HP)
|
100% |
6487
77.1 IPS |
|
|
Face Detection (Q)
|
100% |
5143
61.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
8821
68.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
9577
73.8 IPS |
|
|
Depth Estimation (Q)
|
86% |
8639
67.5 IPS |
|
|
Style Transfer (SP)
|
100% |
18690
24.0 IPS |
|
|
Style Transfer (HP)
|
100% |
23634
30.4 IPS |
|
|
Style Transfer (Q)
|
96% |
23463
30.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4531
167.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
5045
186.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4282
158.1 IPS |
|
|
Text Classification (SP)
|
100% |
2531
3.38 KIPS |
|
|
Text Classification (HP)
|
99% |
4195
5.60 KIPS |
|
|
Text Classification (Q)
|
93% |
4133
5.55 KIPS |
|
|
Machine Translation (SP)
|
100% |
1080
18.6 IPS |
|
|
Machine Translation (HP)
|
100% |
1043
18.0 IPS |
|
|
Machine Translation (Q)
|
98% |
1221
21.1 IPS |
