iPhone 13 Pro
Geekbench AI Score
3273
Single Precision Score
20145
Half Precision Score
22623
Quantized Score
Geekbench AI 1.7.0 for iOS AArch64
Result Information
| User | Pijiuhua |
| Upload Date | April 04 2026 06:11 AM |
| Views | 7 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple A15 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 18.7.7 |
| 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 | 5.54 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1341
249.4 IPS |
|
|
Image Classification (HP)
|
100% |
7950
1.48 KIPS |
|
|
Image Classification (Q)
|
96% |
9595
1.79 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1291
20.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
12639
204.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
15481
251.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
6292
7.34 IPS |
|
|
Pose Estimation (HP)
|
100% |
94731
110.5 IPS |
|
|
Pose Estimation (Q)
|
95% |
95470
111.9 IPS |
|
|
Object Detection (SP)
|
100% |
1451
115.1 IPS |
|
|
Object Detection (HP)
|
99% |
10156
807.9 IPS |
|
|
Object Detection (Q)
|
91% |
11937
953.8 IPS |
|
|
Face Detection (SP)
|
100% |
2715
32.3 IPS |
|
|
Face Detection (HP)
|
100% |
29379
349.1 IPS |
|
|
Face Detection (Q)
|
100% |
36839
437.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
5422
41.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
53113
409.2 IPS |
|
|
Depth Estimation (Q)
|
85% |
71922
562.0 IPS |
|
|
Style Transfer (SP)
|
100% |
17242
22.2 IPS |
|
|
Style Transfer (HP)
|
100% |
164709
211.7 IPS |
|
|
Style Transfer (Q)
|
96% |
158936
205.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3922
144.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
29653
1.09 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
27910
1.03 KIPS |
|
|
Text Classification (SP)
|
100% |
2477
3.31 KIPS |
|
|
Text Classification (HP)
|
100% |
2451
3.27 KIPS |
|
|
Text Classification (Q)
|
93% |
2456
3.30 KIPS |
|
|
Machine Translation (SP)
|
100% |
3623
62.4 IPS |
|
|
Machine Translation (HP)
|
100% |
6096
105.0 IPS |
|
|
Machine Translation (Q)
|
98% |
7188
124.2 IPS |
