iPhone 13 Pro
Geekbench AI Score
3921
Single Precision Score
4448
Half Precision Score
4151
Quantized Score
Geekbench AI 1.7.0 for iOS AArch64
Result Information
| User | Pijiuhua |
| Upload Date | April 15 2026 03:47 AM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple A15 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 18.7.7 |
| 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 | 5.54 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1721
320.1 IPS |
|
|
Image Classification (HP)
|
100% |
1561
290.3 IPS |
|
|
Image Classification (Q)
|
96% |
1538
287.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
2796
45.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
2974
48.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
2763
44.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
11362
13.3 IPS |
|
|
Pose Estimation (HP)
|
100% |
12775
14.9 IPS |
|
|
Pose Estimation (Q)
|
96% |
12383
14.5 IPS |
|
|
Object Detection (SP)
|
100% |
1952
154.8 IPS |
|
|
Object Detection (HP)
|
100% |
1990
157.8 IPS |
|
|
Object Detection (Q)
|
92% |
1852
147.8 IPS |
|
|
Face Detection (SP)
|
100% |
4880
58.0 IPS |
|
|
Face Detection (HP)
|
100% |
6138
72.9 IPS |
|
|
Face Detection (Q)
|
100% |
4950
58.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
8447
65.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
9193
70.8 IPS |
|
|
Depth Estimation (Q)
|
86% |
8542
66.7 IPS |
|
|
Style Transfer (SP)
|
100% |
18772
24.1 IPS |
|
|
Style Transfer (HP)
|
100% |
21201
27.3 IPS |
|
|
Style Transfer (Q)
|
96% |
20100
25.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4347
160.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
5081
187.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4441
164.0 IPS |
|
|
Text Classification (SP)
|
100% |
2416
3.23 KIPS |
|
|
Text Classification (HP)
|
100% |
4285
5.72 KIPS |
|
|
Text Classification (Q)
|
93% |
4306
5.78 KIPS |
|
|
Machine Translation (SP)
|
100% |
992
17.1 IPS |
|
|
Machine Translation (HP)
|
100% |
988
17.0 IPS |
|
|
Machine Translation (Q)
|
98% |
959
16.6 IPS |
