iPhone 13 Pro
Geekbench AI Score
4060
Single Precision Score
4478
Half Precision Score
4262
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| User | Buschiiiii |
| Upload Date | October 10 2025 09:27 AM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple A15 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 26.0.1 |
| 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% |
1774
329.8 IPS |
|
|
Image Classification (HP)
|
100% |
1559
290.0 IPS |
|
|
Image Classification (Q)
|
96% |
1639
306.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
2812
45.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
2914
47.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
2743
44.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
11187
13.1 IPS |
|
|
Pose Estimation (HP)
|
100% |
12713
14.8 IPS |
|
|
Pose Estimation (Q)
|
96% |
12422
14.5 IPS |
|
|
Object Detection (SP)
|
100% |
1974
156.6 IPS |
|
|
Object Detection (HP)
|
100% |
2018
160.1 IPS |
|
|
Object Detection (Q)
|
92% |
1885
150.5 IPS |
|
|
Face Detection (SP)
|
100% |
4948
58.8 IPS |
|
|
Face Detection (HP)
|
100% |
6152
73.1 IPS |
|
|
Face Detection (Q)
|
100% |
4940
58.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
8538
65.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
9168
70.6 IPS |
|
|
Depth Estimation (Q)
|
86% |
8488
66.3 IPS |
|
|
Style Transfer (SP)
|
100% |
18778
24.1 IPS |
|
|
Style Transfer (HP)
|
100% |
23272
29.9 IPS |
|
|
Style Transfer (Q)
|
96% |
23192
29.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4950
182.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
5064
187.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4444
164.1 IPS |
|
|
Text Classification (SP)
|
100% |
2587
3.45 KIPS |
|
|
Text Classification (HP)
|
99% |
4133
5.52 KIPS |
|
|
Text Classification (Q)
|
93% |
4158
5.58 KIPS |
|
|
Machine Translation (SP)
|
100% |
1089
18.8 IPS |
|
|
Machine Translation (HP)
|
100% |
1014
17.5 IPS |
|
|
Machine Translation (Q)
|
98% |
1047
18.1 IPS |
