iPhone 13 Pro
Geekbench AI Score
3150
Single Precision Score
5766
Half Precision Score
4720
Quantized Score
Geekbench AI 1.6.1 for iOS AArch64
Result Information
| Upload Date | January 18 2026 11:40 AM |
| Views | 9 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple A15 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 26.2 |
| 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% |
1240
230.7 IPS |
|
|
Image Classification (HP)
|
100% |
2388
444.2 IPS |
|
|
Image Classification (Q)
|
96% |
1650
308.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
1250
20.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
1988
32.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
2455
39.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
6139
7.16 IPS |
|
|
Pose Estimation (HP)
|
100% |
14620
17.1 IPS |
|
|
Pose Estimation (Q)
|
95% |
12290
14.4 IPS |
|
|
Object Detection (SP)
|
100% |
1359
107.8 IPS |
|
|
Object Detection (HP)
|
97% |
2734
217.7 IPS |
|
|
Object Detection (Q)
|
94% |
1961
156.3 IPS |
|
|
Face Detection (SP)
|
100% |
2628
31.2 IPS |
|
|
Face Detection (HP)
|
100% |
5700
67.7 IPS |
|
|
Face Detection (Q)
|
100% |
3227
38.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
5176
39.9 IPS |
|
|
Depth Estimation (HP)
|
98% |
10547
81.5 IPS |
|
|
Depth Estimation (Q)
|
85% |
7447
58.2 IPS |
|
|
Style Transfer (SP)
|
100% |
17363
22.3 IPS |
|
|
Style Transfer (HP)
|
100% |
27444
35.3 IPS |
|
|
Style Transfer (Q)
|
96% |
23103
29.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3606
133.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4684
173.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3705
136.8 IPS |
|
|
Text Classification (SP)
|
100% |
2551
3.40 KIPS |
|
|
Text Classification (HP)
|
99% |
4173
5.57 KIPS |
|
|
Text Classification (Q)
|
93% |
4173
5.60 KIPS |
|
|
Machine Translation (SP)
|
100% |
3428
59.0 IPS |
|
|
Machine Translation (HP)
|
98% |
6646
114.8 IPS |
|
|
Machine Translation (Q)
|
98% |
6560
113.4 IPS |
