iPhone 13
Geekbench AI Score
2971
Single Precision Score
3278
Half Precision Score
3024
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| Upload Date | June 28 2025 12:25 PM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple A15 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 19.0 |
| 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 | 3.57 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
745
138.6 IPS |
|
|
Image Classification (HP)
|
100% |
951
176.8 IPS |
|
|
Image Classification (Q)
|
96% |
901
168.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
2337
37.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
2403
39.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
2284
37.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
9271
10.8 IPS |
|
|
Pose Estimation (HP)
|
100% |
10385
12.1 IPS |
|
|
Pose Estimation (Q)
|
96% |
10082
11.8 IPS |
|
|
Object Detection (SP)
|
100% |
1062
84.3 IPS |
|
|
Object Detection (HP)
|
100% |
923
73.2 IPS |
|
|
Object Detection (Q)
|
92% |
817
65.2 IPS |
|
|
Face Detection (SP)
|
100% |
4016
47.7 IPS |
|
|
Face Detection (HP)
|
100% |
5126
60.9 IPS |
|
|
Face Detection (Q)
|
100% |
3452
41.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
7621
58.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
6945
53.5 IPS |
|
|
Depth Estimation (Q)
|
86% |
6376
49.8 IPS |
|
|
Style Transfer (SP)
|
100% |
16588
21.3 IPS |
|
|
Style Transfer (HP)
|
100% |
19638
25.2 IPS |
|
|
Style Transfer (Q)
|
96% |
19104
24.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2940
108.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2847
105.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
2648
97.8 IPS |
|
|
Text Classification (SP)
|
100% |
2526
3.37 KIPS |
|
|
Text Classification (HP)
|
99% |
4287
5.72 KIPS |
|
|
Text Classification (Q)
|
93% |
4200
5.64 KIPS |
|
|
Machine Translation (SP)
|
100% |
831
14.3 IPS |
|
|
Machine Translation (HP)
|
100% |
768
13.2 IPS |
|
|
Machine Translation (Q)
|
98% |
809
14.0 IPS |
