iPhone 13
Geekbench AI Score
3065
Single Precision Score
3330
Half Precision Score
3077
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| User | CatCat |
| Upload Date | September 16 2025 03:18 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% |
1020
189.6 IPS |
|
|
Image Classification (HP)
|
100% |
971
180.6 IPS |
|
|
Image Classification (Q)
|
96% |
900
168.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
2345
38.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
2306
37.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
2264
36.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
9308
10.9 IPS |
|
|
Pose Estimation (HP)
|
100% |
10336
12.1 IPS |
|
|
Pose Estimation (Q)
|
96% |
9998
11.7 IPS |
|
|
Object Detection (SP)
|
100% |
1106
87.7 IPS |
|
|
Object Detection (HP)
|
100% |
950
75.3 IPS |
|
|
Object Detection (Q)
|
92% |
948
75.6 IPS |
|
|
Face Detection (SP)
|
100% |
4252
50.5 IPS |
|
|
Face Detection (HP)
|
100% |
5030
59.8 IPS |
|
|
Face Detection (Q)
|
100% |
3392
40.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
6887
53.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
6752
52.0 IPS |
|
|
Depth Estimation (Q)
|
86% |
6444
50.3 IPS |
|
|
Style Transfer (SP)
|
100% |
16508
21.2 IPS |
|
|
Style Transfer (HP)
|
100% |
19452
25.0 IPS |
|
|
Style Transfer (Q)
|
96% |
18942
24.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2944
108.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
3016
111.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
2665
98.4 IPS |
|
|
Text Classification (SP)
|
100% |
2588
3.45 KIPS |
|
|
Text Classification (HP)
|
99% |
4300
5.74 KIPS |
|
|
Text Classification (Q)
|
93% |
4304
5.78 KIPS |
|
|
Machine Translation (SP)
|
100% |
809
13.9 IPS |
|
|
Machine Translation (HP)
|
100% |
891
15.3 IPS |
|
|
Machine Translation (Q)
|
98% |
832
14.4 IPS |
