iPhone 13 Pro
Geekbench AI Score
3144
Single Precision Score
5793
Half Precision Score
4721
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| User | Pijiuhua |
| Upload Date | November 16 2025 07:07 AM |
| Views | 2 |
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% |
1256
233.5 IPS |
|
|
Image Classification (HP)
|
100% |
2425
450.9 IPS |
|
|
Image Classification (Q)
|
96% |
1666
311.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
1263
20.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
1970
31.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
2461
39.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
6042
7.05 IPS |
|
|
Pose Estimation (HP)
|
100% |
14562
17.0 IPS |
|
|
Pose Estimation (Q)
|
95% |
12137
14.2 IPS |
|
|
Object Detection (SP)
|
100% |
1338
106.1 IPS |
|
|
Object Detection (HP)
|
97% |
2757
219.5 IPS |
|
|
Object Detection (Q)
|
94% |
1982
158.0 IPS |
|
|
Face Detection (SP)
|
100% |
2651
31.5 IPS |
|
|
Face Detection (HP)
|
100% |
5710
67.8 IPS |
|
|
Face Detection (Q)
|
100% |
3237
38.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
5145
39.6 IPS |
|
|
Depth Estimation (HP)
|
98% |
10599
81.9 IPS |
|
|
Depth Estimation (Q)
|
85% |
7465
58.4 IPS |
|
|
Style Transfer (SP)
|
100% |
17132
22.0 IPS |
|
|
Style Transfer (HP)
|
100% |
27561
35.4 IPS |
|
|
Style Transfer (Q)
|
96% |
22758
29.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3649
134.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4819
177.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3693
136.4 IPS |
|
|
Text Classification (SP)
|
100% |
2578
3.44 KIPS |
|
|
Text Classification (HP)
|
99% |
4130
5.51 KIPS |
|
|
Text Classification (Q)
|
93% |
4127
5.54 KIPS |
|
|
Machine Translation (SP)
|
100% |
3357
57.8 IPS |
|
|
Machine Translation (HP)
|
98% |
6694
115.7 IPS |
|
|
Machine Translation (Q)
|
98% |
6662
115.1 IPS |
