iPhone 13 Pro
Geekbench AI Score
3922
Single Precision Score
4492
Half Precision Score
4231
Quantized Score
Geekbench AI 1.7.0 for iOS AArch64
Result Information
| User | Pijiuhua |
| Upload Date | February 27 2026 07:00 AM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple A15 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 18.6.2 |
| 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 | 5.54 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1601
297.7 IPS |
|
|
Image Classification (HP)
|
100% |
1501
279.1 IPS |
|
|
Image Classification (Q)
|
96% |
1641
306.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
2764
44.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
2920
47.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
2737
44.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
11194
13.1 IPS |
|
|
Pose Estimation (HP)
|
100% |
12642
14.8 IPS |
|
|
Pose Estimation (Q)
|
96% |
12296
14.4 IPS |
|
|
Object Detection (SP)
|
100% |
1939
153.8 IPS |
|
|
Object Detection (HP)
|
100% |
2020
160.2 IPS |
|
|
Object Detection (Q)
|
92% |
1827
145.9 IPS |
|
|
Face Detection (SP)
|
100% |
4769
56.7 IPS |
|
|
Face Detection (HP)
|
100% |
6096
72.4 IPS |
|
|
Face Detection (Q)
|
100% |
4977
59.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
8498
65.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
9189
70.8 IPS |
|
|
Depth Estimation (Q)
|
86% |
8452
66.0 IPS |
|
|
Style Transfer (SP)
|
100% |
18832
24.2 IPS |
|
|
Style Transfer (HP)
|
100% |
23712
30.5 IPS |
|
|
Style Transfer (Q)
|
96% |
22754
29.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4874
180.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
5044
186.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4440
164.0 IPS |
|
|
Text Classification (SP)
|
100% |
2455
3.28 KIPS |
|
|
Text Classification (HP)
|
100% |
4270
5.70 KIPS |
|
|
Text Classification (Q)
|
93% |
4210
5.65 KIPS |
|
|
Machine Translation (SP)
|
100% |
982
16.9 IPS |
|
|
Machine Translation (HP)
|
100% |
1047
18.0 IPS |
|
|
Machine Translation (Q)
|
98% |
1020
17.6 IPS |
