iPhone 13 Pro
Geekbench AI Score
4035
Single Precision Score
4543
Half Precision Score
4254
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | September 11 2025 01:47 AM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple A15 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 26.0 |
| 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% |
1725
320.7 IPS |
|
|
Image Classification (HP)
|
100% |
1657
308.2 IPS |
|
|
Image Classification (Q)
|
96% |
1612
301.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
2828
45.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
2914
47.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
2783
45.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
11201
13.1 IPS |
|
|
Pose Estimation (HP)
|
100% |
12681
14.8 IPS |
|
|
Pose Estimation (Q)
|
96% |
12411
14.5 IPS |
|
|
Object Detection (SP)
|
100% |
1968
156.1 IPS |
|
|
Object Detection (HP)
|
100% |
1984
157.4 IPS |
|
|
Object Detection (Q)
|
92% |
1875
149.7 IPS |
|
|
Face Detection (SP)
|
100% |
4960
58.9 IPS |
|
|
Face Detection (HP)
|
100% |
6237
74.1 IPS |
|
|
Face Detection (Q)
|
100% |
4930
58.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
8610
66.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
9265
71.4 IPS |
|
|
Depth Estimation (Q)
|
86% |
8552
66.8 IPS |
|
|
Style Transfer (SP)
|
100% |
18836
24.2 IPS |
|
|
Style Transfer (HP)
|
100% |
23749
30.5 IPS |
|
|
Style Transfer (Q)
|
96% |
23055
29.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4940
182.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
5179
191.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4590
169.5 IPS |
|
|
Text Classification (SP)
|
100% |
2570
3.43 KIPS |
|
|
Text Classification (HP)
|
99% |
4123
5.50 KIPS |
|
|
Text Classification (Q)
|
93% |
4104
5.51 KIPS |
|
|
Machine Translation (SP)
|
100% |
1043
18.0 IPS |
|
|
Machine Translation (HP)
|
100% |
1053
18.1 IPS |
|
|
Machine Translation (Q)
|
98% |
1017
17.6 IPS |
