iPhone 13 Pro
Geekbench AI Score
3166
Single Precision Score
5817
Half Precision Score
4744
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| User | Pijiuhua |
| Upload Date | November 09 2025 04:42 AM |
| Views | 5 |
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% |
1254
233.3 IPS |
|
|
Image Classification (HP)
|
100% |
2428
451.4 IPS |
|
|
Image Classification (Q)
|
96% |
1683
314.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
1292
20.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
2023
32.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
2456
39.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
6120
7.14 IPS |
|
|
Pose Estimation (HP)
|
100% |
14599
17.0 IPS |
|
|
Pose Estimation (Q)
|
95% |
12561
14.7 IPS |
|
|
Object Detection (SP)
|
100% |
1351
107.2 IPS |
|
|
Object Detection (HP)
|
97% |
2759
219.6 IPS |
|
|
Object Detection (Q)
|
94% |
1983
158.0 IPS |
|
|
Face Detection (SP)
|
100% |
2609
31.0 IPS |
|
|
Face Detection (HP)
|
100% |
5700
67.7 IPS |
|
|
Face Detection (Q)
|
100% |
3243
38.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
5210
40.1 IPS |
|
|
Depth Estimation (HP)
|
98% |
10606
82.0 IPS |
|
|
Depth Estimation (Q)
|
85% |
7469
58.4 IPS |
|
|
Style Transfer (SP)
|
100% |
17135
22.0 IPS |
|
|
Style Transfer (HP)
|
100% |
27655
35.6 IPS |
|
|
Style Transfer (Q)
|
96% |
22801
29.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3651
134.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4837
178.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3699
136.6 IPS |
|
|
Text Classification (SP)
|
100% |
2575
3.44 KIPS |
|
|
Text Classification (HP)
|
99% |
4153
5.54 KIPS |
|
|
Text Classification (Q)
|
93% |
4134
5.55 KIPS |
|
|
Machine Translation (SP)
|
100% |
3454
59.5 IPS |
|
|
Machine Translation (HP)
|
98% |
6685
115.5 IPS |
|
|
Machine Translation (Q)
|
98% |
6644
114.8 IPS |
