iPhone 13
Geekbench AI Score
3019
Single Precision Score
3099
Half Precision Score
3083
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | December 22 2025 10:01 PM |
| Views | 7 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple A15 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 26.2 |
| Model | iPhone 13 |
| Model ID | iPhone14,5 |
| Motherboard | D17AP |
| 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 | 3.58 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1047
194.8 IPS |
|
|
Image Classification (HP)
|
100% |
600
111.6 IPS |
|
|
Image Classification (Q)
|
96% |
798
149.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
2318
37.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
2245
36.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
2231
36.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
9413
11.0 IPS |
|
|
Pose Estimation (HP)
|
100% |
10344
12.1 IPS |
|
|
Pose Estimation (Q)
|
96% |
10025
11.7 IPS |
|
|
Object Detection (SP)
|
100% |
1103
87.5 IPS |
|
|
Object Detection (HP)
|
100% |
1095
86.9 IPS |
|
|
Object Detection (Q)
|
92% |
926
73.9 IPS |
|
|
Face Detection (SP)
|
100% |
4289
51.0 IPS |
|
|
Face Detection (HP)
|
100% |
3680
43.7 IPS |
|
|
Face Detection (Q)
|
100% |
4104
48.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
6874
53.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
6857
52.8 IPS |
|
|
Depth Estimation (Q)
|
86% |
6664
52.1 IPS |
|
|
Style Transfer (SP)
|
100% |
16530
21.2 IPS |
|
|
Style Transfer (HP)
|
100% |
19453
25.0 IPS |
|
|
Style Transfer (Q)
|
96% |
18977
24.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2800
103.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
3004
110.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
2603
96.1 IPS |
|
|
Text Classification (SP)
|
100% |
2570
3.43 KIPS |
|
|
Text Classification (HP)
|
99% |
4170
5.57 KIPS |
|
|
Text Classification (Q)
|
93% |
4148
5.57 KIPS |
|
|
Machine Translation (SP)
|
100% |
712
12.3 IPS |
|
|
Machine Translation (HP)
|
100% |
871
15.0 IPS |
|
|
Machine Translation (Q)
|
98% |
840
14.5 IPS |
