iPhone 13
Geekbench AI Score
3062
Single Precision Score
3135
Half Precision Score
2945
Quantized Score
Geekbench AI 1.4.0 for iOS AArch64
Result Information
| Upload Date | September 03 2025 03:19 PM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple A15 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 26.0 |
| 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% |
1141
212.2 IPS |
|
|
Image Classification (HP)
|
100% |
996
185.1 IPS |
|
|
Image Classification (Q)
|
96% |
542
101.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
2323
37.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
2334
37.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
2194
35.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
9307
10.9 IPS |
|
|
Pose Estimation (HP)
|
100% |
10318
12.0 IPS |
|
|
Pose Estimation (Q)
|
96% |
10001
11.7 IPS |
|
|
Object Detection (SP)
|
100% |
1107
87.8 IPS |
|
|
Object Detection (HP)
|
100% |
811
64.4 IPS |
|
|
Object Detection (Q)
|
92% |
936
74.7 IPS |
|
|
Face Detection (SP)
|
100% |
4243
50.4 IPS |
|
|
Face Detection (HP)
|
100% |
3661
43.5 IPS |
|
|
Face Detection (Q)
|
100% |
4024
47.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
6758
52.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
6765
52.1 IPS |
|
|
Depth Estimation (Q)
|
86% |
6441
50.3 IPS |
|
|
Style Transfer (SP)
|
100% |
16330
21.0 IPS |
|
|
Style Transfer (HP)
|
100% |
19265
24.8 IPS |
|
|
Style Transfer (Q)
|
96% |
18757
24.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2907
107.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2837
104.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
2752
101.6 IPS |
|
|
Text Classification (SP)
|
100% |
2518
3.36 KIPS |
|
|
Text Classification (HP)
|
99% |
4330
5.78 KIPS |
|
|
Text Classification (Q)
|
93% |
4283
5.75 KIPS |
|
|
Machine Translation (SP)
|
100% |
775
13.4 IPS |
|
|
Machine Translation (HP)
|
100% |
805
13.9 IPS |
|
|
Machine Translation (Q)
|
98% |
771
13.3 IPS |
