iPhone 13 Pro
Geekbench AI Score
3985
Single Precision Score
4534
Half Precision Score
4263
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| User | Pijiuhua |
| Upload Date | September 18 2025 02:13 AM |
| Views | 10 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple A15 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 26.0 |
| 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% |
1739
323.4 IPS |
|
|
Image Classification (HP)
|
100% |
1694
315.0 IPS |
|
|
Image Classification (Q)
|
96% |
1571
293.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
2801
45.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
2956
47.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
2826
45.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
11422
13.3 IPS |
|
|
Pose Estimation (HP)
|
100% |
12586
14.7 IPS |
|
|
Pose Estimation (Q)
|
96% |
12373
14.5 IPS |
|
|
Object Detection (SP)
|
100% |
1970
156.3 IPS |
|
|
Object Detection (HP)
|
100% |
1994
158.1 IPS |
|
|
Object Detection (Q)
|
92% |
1879
150.0 IPS |
|
|
Face Detection (SP)
|
100% |
4875
57.9 IPS |
|
|
Face Detection (HP)
|
100% |
6211
73.8 IPS |
|
|
Face Detection (Q)
|
100% |
4977
59.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
8497
65.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
9237
71.2 IPS |
|
|
Depth Estimation (Q)
|
86% |
8421
65.8 IPS |
|
|
Style Transfer (SP)
|
100% |
18861
24.2 IPS |
|
|
Style Transfer (HP)
|
100% |
23700
30.5 IPS |
|
|
Style Transfer (Q)
|
96% |
23008
29.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4624
170.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4841
178.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4565
168.6 IPS |
|
|
Text Classification (SP)
|
100% |
2577
3.44 KIPS |
|
|
Text Classification (HP)
|
99% |
4279
5.71 KIPS |
|
|
Text Classification (Q)
|
93% |
4250
5.70 KIPS |
|
|
Machine Translation (SP)
|
100% |
990
17.0 IPS |
|
|
Machine Translation (HP)
|
100% |
1039
17.9 IPS |
|
|
Machine Translation (Q)
|
98% |
1027
17.7 IPS |
