iPhone 13 Pro
Geekbench AI Score
3169
Single Precision Score
18626
Half Precision Score
20756
Quantized Score
Geekbench AI 1.6.1 for iOS AArch64
Result Information
| User | potatogaming |
| Upload Date | January 20 2026 02:33 PM |
| Views | 1 |
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% |
1257
233.7 IPS |
|
|
Image Classification (HP)
|
100% |
7843
1.46 KIPS |
|
|
Image Classification (Q)
|
96% |
9402
1.76 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1262
20.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
12094
196.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
15326
248.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
6109
7.13 IPS |
|
|
Pose Estimation (HP)
|
100% |
81106
94.6 IPS |
|
|
Pose Estimation (Q)
|
95% |
87043
102.0 IPS |
|
|
Object Detection (SP)
|
100% |
1362
108.0 IPS |
|
|
Object Detection (HP)
|
99% |
10335
822.1 IPS |
|
|
Object Detection (Q)
|
91% |
11973
956.7 IPS |
|
|
Face Detection (SP)
|
100% |
2641
31.4 IPS |
|
|
Face Detection (HP)
|
100% |
26293
312.4 IPS |
|
|
Face Detection (Q)
|
100% |
33097
393.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
5220
40.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
56020
431.6 IPS |
|
|
Depth Estimation (Q)
|
85% |
75543
590.3 IPS |
|
|
Style Transfer (SP)
|
100% |
17476
22.5 IPS |
|
|
Style Transfer (HP)
|
100% |
150935
194.0 IPS |
|
|
Style Transfer (Q)
|
96% |
141665
182.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3640
134.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
28351
1.05 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
28296
1.04 KIPS |
|
|
Text Classification (SP)
|
100% |
2553
3.41 KIPS |
|
|
Text Classification (HP)
|
100% |
1599
2.13 KIPS |
|
|
Text Classification (Q)
|
93% |
1394
1.87 KIPS |
|
|
Machine Translation (SP)
|
100% |
3465
59.7 IPS |
|
|
Machine Translation (HP)
|
100% |
6273
108.1 IPS |
|
|
Machine Translation (Q)
|
98% |
7074
122.2 IPS |
