iPhone 13 Pro
Geekbench AI Score
3117
Single Precision Score
5771
Half Precision Score
4680
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| User | Pijiuhua |
| Upload Date | December 04 2025 09:35 AM |
| Views | 6 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| 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% |
1226
228.0 IPS |
|
|
Image Classification (HP)
|
100% |
2421
450.3 IPS |
|
|
Image Classification (Q)
|
96% |
1678
313.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
1262
20.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
1906
30.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
2423
39.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
5911
6.90 IPS |
|
|
Pose Estimation (HP)
|
100% |
14277
16.7 IPS |
|
|
Pose Estimation (Q)
|
95% |
11981
14.0 IPS |
|
|
Object Detection (SP)
|
100% |
1296
102.8 IPS |
|
|
Object Detection (HP)
|
97% |
2680
213.4 IPS |
|
|
Object Detection (Q)
|
94% |
1924
153.3 IPS |
|
|
Face Detection (SP)
|
100% |
2567
30.5 IPS |
|
|
Face Detection (HP)
|
100% |
5616
66.7 IPS |
|
|
Face Detection (Q)
|
100% |
3109
36.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
5108
39.4 IPS |
|
|
Depth Estimation (HP)
|
98% |
10537
81.5 IPS |
|
|
Depth Estimation (Q)
|
85% |
7399
57.8 IPS |
|
|
Style Transfer (SP)
|
100% |
16698
21.5 IPS |
|
|
Style Transfer (HP)
|
100% |
27154
34.9 IPS |
|
|
Style Transfer (Q)
|
96% |
22396
28.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3727
137.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
5077
187.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3679
135.8 IPS |
|
|
Text Classification (SP)
|
100% |
2591
3.46 KIPS |
|
|
Text Classification (HP)
|
99% |
4189
5.59 KIPS |
|
|
Text Classification (Q)
|
93% |
4267
5.73 KIPS |
|
|
Machine Translation (SP)
|
100% |
3459
59.6 IPS |
|
|
Machine Translation (HP)
|
98% |
6799
117.5 IPS |
|
|
Machine Translation (Q)
|
98% |
6658
115.1 IPS |
