iPhone 13 Pro
Geekbench AI Score
1988
Single Precision Score
2293
Half Precision Score
2135
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| User | Pijiuhua |
| Upload Date | October 20 2025 08:39 AM |
| Views | 4 |
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% |
1485
276.2 IPS |
|
|
Image Classification (HP)
|
100% |
1621
301.5 IPS |
|
|
Image Classification (Q)
|
96% |
1551
289.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
2857
46.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
2990
48.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
2858
46.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
11325
13.2 IPS |
|
|
Pose Estimation (HP)
|
100% |
12861
15.0 IPS |
|
|
Pose Estimation (Q)
|
96% |
12441
14.6 IPS |
|
|
Object Detection (SP)
|
100% |
1967
156.1 IPS |
|
|
Object Detection (HP)
|
100% |
1996
158.3 IPS |
|
|
Object Detection (Q)
|
92% |
1779
142.0 IPS |
|
|
Face Detection (SP)
|
100% |
4965
59.0 IPS |
|
|
Face Detection (HP)
|
100% |
6461
76.8 IPS |
|
|
Face Detection (Q)
|
100% |
4949
58.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
8676
66.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
9637
74.2 IPS |
|
|
Depth Estimation (Q)
|
86% |
8373
65.4 IPS |
|
|
Style Transfer (SP)
|
100% |
18707
24.0 IPS |
|
|
Style Transfer (HP)
|
100% |
23694
30.5 IPS |
|
|
Style Transfer (Q)
|
96% |
23397
30.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5088
187.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
5163
190.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4827
178.2 IPS |
|
|
Text Classification (SP)
|
100% |
2498
3.33 KIPS |
|
|
Text Classification (HP)
|
99% |
4246
5.67 KIPS |
|
|
Text Classification (Q)
|
93% |
4299
5.77 KIPS |
|
|
Machine Translation (SP)
|
0% |
0
8.33 IPS |
|
|
Machine Translation (HP)
|
0% |
0
8.90 IPS |
|
|
Machine Translation (Q)
|
0% |
0
7.32 IPS |
