iPhone 13 Pro
Geekbench AI Score
2938
Single Precision Score
17385
Half Precision Score
20838
Quantized Score
Geekbench AI 1.6.1 for iOS AArch64
Result Information
| User | potatogaming |
| Upload Date | January 20 2026 01:22 PM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| 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% |
1225
227.8 IPS |
|
|
Image Classification (HP)
|
100% |
8287
1.54 KIPS |
|
|
Image Classification (Q)
|
96% |
10635
1.99 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1157
18.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
11857
192.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
14466
234.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
5218
6.09 IPS |
|
|
Pose Estimation (HP)
|
100% |
79752
93.1 IPS |
|
|
Pose Estimation (Q)
|
95% |
75575
88.6 IPS |
|
|
Object Detection (SP)
|
100% |
1252
99.3 IPS |
|
|
Object Detection (HP)
|
99% |
9943
791.0 IPS |
|
|
Object Detection (Q)
|
91% |
10506
839.5 IPS |
|
|
Face Detection (SP)
|
100% |
2551
30.3 IPS |
|
|
Face Detection (HP)
|
100% |
20939
248.8 IPS |
|
|
Face Detection (Q)
|
100% |
33308
395.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
4863
37.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
48272
371.9 IPS |
|
|
Depth Estimation (Q)
|
85% |
61137
477.8 IPS |
|
|
Style Transfer (SP)
|
100% |
15604
20.1 IPS |
|
|
Style Transfer (HP)
|
100% |
121588
156.3 IPS |
|
|
Style Transfer (Q)
|
96% |
140116
180.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3505
129.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
23454
866.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
27973
1.03 KIPS |
|
|
Text Classification (SP)
|
100% |
2530
3.38 KIPS |
|
|
Text Classification (HP)
|
100% |
1987
2.65 KIPS |
|
|
Text Classification (Q)
|
93% |
2546
3.42 KIPS |
|
|
Machine Translation (SP)
|
100% |
3019
52.0 IPS |
|
|
Machine Translation (HP)
|
100% |
5652
97.3 IPS |
|
|
Machine Translation (Q)
|
98% |
6220
107.5 IPS |
