iPhone 13 Pro
Geekbench AI Score
4080
Single Precision Score
4365
Half Precision Score
4269
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | November 16 2025 07:10 AM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| 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% |
1721
320.1 IPS |
|
|
Image Classification (HP)
|
100% |
1244
231.4 IPS |
|
|
Image Classification (Q)
|
96% |
1569
293.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
2841
46.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
2928
47.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
2747
44.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
11338
13.2 IPS |
|
|
Pose Estimation (HP)
|
100% |
12740
14.9 IPS |
|
|
Pose Estimation (Q)
|
96% |
12330
14.4 IPS |
|
|
Object Detection (SP)
|
100% |
1956
155.2 IPS |
|
|
Object Detection (HP)
|
100% |
1981
157.1 IPS |
|
|
Object Detection (Q)
|
92% |
1836
146.5 IPS |
|
|
Face Detection (SP)
|
100% |
4928
58.6 IPS |
|
|
Face Detection (HP)
|
100% |
6045
71.8 IPS |
|
|
Face Detection (Q)
|
100% |
4916
58.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
8595
66.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
9230
71.1 IPS |
|
|
Depth Estimation (Q)
|
86% |
8498
66.4 IPS |
|
|
Style Transfer (SP)
|
100% |
18780
24.1 IPS |
|
|
Style Transfer (HP)
|
100% |
23375
30.0 IPS |
|
|
Style Transfer (Q)
|
96% |
22972
29.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4925
181.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
5097
188.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4622
170.7 IPS |
|
|
Text Classification (SP)
|
100% |
2597
3.47 KIPS |
|
|
Text Classification (HP)
|
99% |
4179
5.58 KIPS |
|
|
Text Classification (Q)
|
93% |
4126
5.54 KIPS |
|
|
Machine Translation (SP)
|
100% |
1159
20.0 IPS |
|
|
Machine Translation (HP)
|
100% |
984
16.9 IPS |
|
|
Machine Translation (Q)
|
98% |
1126
19.5 IPS |
