iPhone 13 Pro
Geekbench AI Score
3718
Single Precision Score
3934
Half Precision Score
3745
Quantized Score
Geekbench AI 1.4.0 for iOS AArch64
Result Information
| Upload Date | September 02 2025 08:23 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% |
1701
316.4 IPS |
|
|
Image Classification (HP)
|
100% |
1606
298.7 IPS |
|
|
Image Classification (Q)
|
96% |
1528
285.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
2822
45.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
2858
46.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
2767
44.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
11282
13.2 IPS |
|
|
Pose Estimation (HP)
|
100% |
9442
11.0 IPS |
|
|
Pose Estimation (Q)
|
96% |
8538
10.0 IPS |
|
|
Object Detection (SP)
|
100% |
1422
112.8 IPS |
|
|
Object Detection (HP)
|
100% |
1598
126.7 IPS |
|
|
Object Detection (Q)
|
92% |
1628
129.9 IPS |
|
|
Face Detection (SP)
|
100% |
4650
55.3 IPS |
|
|
Face Detection (HP)
|
100% |
5603
66.6 IPS |
|
|
Face Detection (Q)
|
100% |
4689
55.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
7969
61.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
8080
62.3 IPS |
|
|
Depth Estimation (Q)
|
86% |
7705
60.2 IPS |
|
|
Style Transfer (SP)
|
100% |
17191
22.1 IPS |
|
|
Style Transfer (HP)
|
100% |
15863
20.4 IPS |
|
|
Style Transfer (Q)
|
96% |
14455
18.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3745
138.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4342
160.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4269
157.6 IPS |
|
|
Text Classification (SP)
|
100% |
2517
3.36 KIPS |
|
|
Text Classification (HP)
|
99% |
4115
5.49 KIPS |
|
|
Text Classification (Q)
|
93% |
4072
5.46 KIPS |
|
|
Machine Translation (SP)
|
100% |
1094
18.8 IPS |
|
|
Machine Translation (HP)
|
100% |
1001
17.2 IPS |
|
|
Machine Translation (Q)
|
98% |
1019
17.6 IPS |
