iPhone 13
Geekbench AI Score
3002
Single Precision Score
3178
Half Precision Score
2929
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| Upload Date | June 10 2025 12:16 PM |
| Views | 2 |
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% |
1021
189.9 IPS |
|
|
Image Classification (HP)
|
100% |
875
162.8 IPS |
|
|
Image Classification (Q)
|
96% |
820
153.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
2291
37.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
2350
38.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
2236
36.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
9298
10.8 IPS |
|
|
Pose Estimation (HP)
|
100% |
10304
12.0 IPS |
|
|
Pose Estimation (Q)
|
96% |
9995
11.7 IPS |
|
|
Object Detection (SP)
|
100% |
1156
91.7 IPS |
|
|
Object Detection (HP)
|
100% |
817
64.8 IPS |
|
|
Object Detection (Q)
|
92% |
902
72.0 IPS |
|
|
Face Detection (SP)
|
100% |
4309
51.2 IPS |
|
|
Face Detection (HP)
|
100% |
5151
61.2 IPS |
|
|
Face Detection (Q)
|
100% |
3126
37.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
6598
50.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
6809
52.5 IPS |
|
|
Depth Estimation (Q)
|
86% |
6504
50.8 IPS |
|
|
Style Transfer (SP)
|
100% |
16711
21.5 IPS |
|
|
Style Transfer (HP)
|
100% |
19676
25.3 IPS |
|
|
Style Transfer (Q)
|
96% |
18754
24.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2850
105.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2834
104.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
2511
92.7 IPS |
|
|
Text Classification (SP)
|
100% |
2456
3.28 KIPS |
|
|
Text Classification (HP)
|
100% |
3996
5.33 KIPS |
|
|
Text Classification (Q)
|
93% |
3984
5.35 KIPS |
|
|
Machine Translation (SP)
|
100% |
711
12.2 IPS |
|
|
Machine Translation (HP)
|
100% |
779
13.4 IPS |
|
|
Machine Translation (Q)
|
98% |
739
12.8 IPS |
