iPhone 13 Pro
Geekbench AI Score
3015
Single Precision Score
5619
Half Precision Score
4529
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | November 08 2025 01:58 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple A15 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 26.0.1 |
| 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% |
1222
227.3 IPS |
|
|
Image Classification (HP)
|
100% |
2410
448.2 IPS |
|
|
Image Classification (Q)
|
96% |
1647
307.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
1252
20.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
1931
31.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
2396
38.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
5500
6.42 IPS |
|
|
Pose Estimation (HP)
|
100% |
13566
15.8 IPS |
|
|
Pose Estimation (Q)
|
95% |
11174
13.1 IPS |
|
|
Object Detection (SP)
|
100% |
1247
98.9 IPS |
|
|
Object Detection (HP)
|
97% |
2671
212.6 IPS |
|
|
Object Detection (Q)
|
94% |
1873
149.3 IPS |
|
|
Face Detection (SP)
|
100% |
2573
30.6 IPS |
|
|
Face Detection (HP)
|
100% |
5327
63.3 IPS |
|
|
Face Detection (Q)
|
100% |
2983
35.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
4958
38.2 IPS |
|
|
Depth Estimation (HP)
|
98% |
10275
79.4 IPS |
|
|
Depth Estimation (Q)
|
85% |
7118
55.6 IPS |
|
|
Style Transfer (SP)
|
100% |
15634
20.1 IPS |
|
|
Style Transfer (HP)
|
100% |
25714
33.1 IPS |
|
|
Style Transfer (Q)
|
96% |
21306
27.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3500
129.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4806
177.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3589
132.5 IPS |
|
|
Text Classification (SP)
|
100% |
2558
3.41 KIPS |
|
|
Text Classification (HP)
|
99% |
4259
5.69 KIPS |
|
|
Text Classification (Q)
|
93% |
4213
5.65 KIPS |
|
|
Machine Translation (SP)
|
100% |
3318
57.1 IPS |
|
|
Machine Translation (HP)
|
98% |
6461
111.6 IPS |
|
|
Machine Translation (Q)
|
98% |
6429
111.1 IPS |
