iPhone 13 Pro
Geekbench AI Score
3133
Single Precision Score
5770
Half Precision Score
4691
Quantized Score
Geekbench AI 1.6.1 for iOS AArch64
Result Information
| User | Pijiuhua |
| Upload Date | January 28 2026 11:01 PM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple A15 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 26.2.1 |
| 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% |
1237
230.1 IPS |
|
|
Image Classification (HP)
|
100% |
2418
449.8 IPS |
|
|
Image Classification (Q)
|
96% |
1670
311.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
1268
20.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
1928
31.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
2422
39.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
6067
7.08 IPS |
|
|
Pose Estimation (HP)
|
100% |
14460
16.9 IPS |
|
|
Pose Estimation (Q)
|
95% |
12147
14.2 IPS |
|
|
Object Detection (SP)
|
100% |
1322
104.8 IPS |
|
|
Object Detection (HP)
|
97% |
2748
218.8 IPS |
|
|
Object Detection (Q)
|
94% |
1956
155.9 IPS |
|
|
Face Detection (SP)
|
100% |
2624
31.2 IPS |
|
|
Face Detection (HP)
|
100% |
5698
67.7 IPS |
|
|
Face Detection (Q)
|
100% |
3198
38.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
5134
39.6 IPS |
|
|
Depth Estimation (HP)
|
98% |
10511
81.3 IPS |
|
|
Depth Estimation (Q)
|
85% |
7475
58.4 IPS |
|
|
Style Transfer (SP)
|
100% |
17151
22.0 IPS |
|
|
Style Transfer (HP)
|
100% |
26633
34.2 IPS |
|
|
Style Transfer (Q)
|
96% |
22518
29.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3642
134.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4983
184.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3654
134.9 IPS |
|
|
Text Classification (SP)
|
100% |
2566
3.43 KIPS |
|
|
Text Classification (HP)
|
99% |
4265
5.69 KIPS |
|
|
Text Classification (Q)
|
93% |
4210
5.65 KIPS |
|
|
Machine Translation (SP)
|
100% |
3362
57.9 IPS |
|
|
Machine Translation (HP)
|
98% |
6517
112.6 IPS |
|
|
Machine Translation (Q)
|
98% |
6487
112.1 IPS |
