iPhone 13
Geekbench AI Score
2873
Single Precision Score
3118
Half Precision Score
2982
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| Upload Date | May 21 2025 06:30 PM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple A15 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 18.4.1 |
| 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% |
615
114.3 IPS |
|
|
Image Classification (HP)
|
100% |
897
166.8 IPS |
|
|
Image Classification (Q)
|
96% |
838
156.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
2320
37.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
2318
37.6 IPS |
|
|
Image Segmentation (Q)
|
99% |
2197
35.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
9239
10.8 IPS |
|
|
Pose Estimation (HP)
|
100% |
9820
11.5 IPS |
|
|
Pose Estimation (Q)
|
96% |
9598
11.2 IPS |
|
|
Object Detection (SP)
|
100% |
1102
87.4 IPS |
|
|
Object Detection (HP)
|
100% |
810
64.2 IPS |
|
|
Object Detection (Q)
|
92% |
713
56.9 IPS |
|
|
Face Detection (SP)
|
100% |
4463
53.0 IPS |
|
|
Face Detection (HP)
|
100% |
4846
57.6 IPS |
|
|
Face Detection (Q)
|
100% |
3870
46.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
6673
51.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
6718
51.8 IPS |
|
|
Depth Estimation (Q)
|
85% |
6891
53.9 IPS |
|
|
Style Transfer (SP)
|
100% |
15912
20.5 IPS |
|
|
Style Transfer (HP)
|
100% |
18694
24.0 IPS |
|
|
Style Transfer (Q)
|
96% |
18465
23.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2794
103.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2744
101.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
2495
92.1 IPS |
|
|
Text Classification (SP)
|
100% |
2435
3.25 KIPS |
|
|
Text Classification (HP)
|
100% |
4273
5.70 KIPS |
|
|
Text Classification (Q)
|
93% |
4206
5.65 KIPS |
|
|
Machine Translation (SP)
|
100% |
819
14.1 IPS |
|
|
Machine Translation (HP)
|
100% |
737
12.7 IPS |
|
|
Machine Translation (Q)
|
98% |
855
14.8 IPS |
