iPhone 13 Pro
Geekbench AI Score
3894
Single Precision Score
4203
Half Precision Score
4097
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| User | Pijiuhua |
| Upload Date | October 05 2025 12:59 PM |
| Views | 9 |
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% |
1678
312.1 IPS |
|
|
Image Classification (HP)
|
100% |
1516
281.9 IPS |
|
|
Image Classification (Q)
|
96% |
1582
295.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
2833
45.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
2902
47.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
2774
45.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
11293
13.2 IPS |
|
|
Pose Estimation (HP)
|
100% |
9121
10.6 IPS |
|
|
Pose Estimation (Q)
|
96% |
10404
12.2 IPS |
|
|
Object Detection (SP)
|
100% |
1591
126.2 IPS |
|
|
Object Detection (HP)
|
100% |
1886
149.6 IPS |
|
|
Object Detection (Q)
|
92% |
1877
149.8 IPS |
|
|
Face Detection (SP)
|
100% |
4913
58.4 IPS |
|
|
Face Detection (HP)
|
100% |
6306
74.9 IPS |
|
|
Face Detection (Q)
|
100% |
5057
60.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
8563
66.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
9225
71.1 IPS |
|
|
Depth Estimation (Q)
|
86% |
8525
66.6 IPS |
|
|
Style Transfer (SP)
|
100% |
18801
24.2 IPS |
|
|
Style Transfer (HP)
|
100% |
19250
24.7 IPS |
|
|
Style Transfer (Q)
|
96% |
18528
23.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4168
153.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4593
169.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4516
166.7 IPS |
|
|
Text Classification (SP)
|
100% |
2596
3.47 KIPS |
|
|
Text Classification (HP)
|
99% |
4360
5.82 KIPS |
|
|
Text Classification (Q)
|
93% |
4408
5.92 KIPS |
|
|
Machine Translation (SP)
|
100% |
1097
18.9 IPS |
|
|
Machine Translation (HP)
|
100% |
1015
17.5 IPS |
|
|
Machine Translation (Q)
|
98% |
979
16.9 IPS |
