iPhone 13
Geekbench AI Score
2861
Single Precision Score
3290
Half Precision Score
3086
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | November 14 2025 04:15 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple A15 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 26.1 |
| 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% |
566
105.2 IPS |
|
|
Image Classification (HP)
|
100% |
979
182.0 IPS |
|
|
Image Classification (Q)
|
96% |
890
166.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
2347
38.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
2179
35.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
2234
36.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
9381
10.9 IPS |
|
|
Pose Estimation (HP)
|
100% |
10350
12.1 IPS |
|
|
Pose Estimation (Q)
|
96% |
10039
11.8 IPS |
|
|
Object Detection (SP)
|
100% |
1091
86.5 IPS |
|
|
Object Detection (HP)
|
100% |
1009
80.1 IPS |
|
|
Object Detection (Q)
|
92% |
954
76.1 IPS |
|
|
Face Detection (SP)
|
100% |
4250
50.5 IPS |
|
|
Face Detection (HP)
|
100% |
3763
44.7 IPS |
|
|
Face Detection (Q)
|
100% |
4108
48.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
6656
51.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
7802
60.1 IPS |
|
|
Depth Estimation (Q)
|
86% |
6384
49.9 IPS |
|
|
Style Transfer (SP)
|
100% |
16565
21.3 IPS |
|
|
Style Transfer (HP)
|
100% |
19402
24.9 IPS |
|
|
Style Transfer (Q)
|
96% |
18952
24.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2925
108.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
3022
111.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
2550
94.2 IPS |
|
|
Text Classification (SP)
|
100% |
2578
3.44 KIPS |
|
|
Text Classification (HP)
|
99% |
4339
5.79 KIPS |
|
|
Text Classification (Q)
|
93% |
4311
5.79 KIPS |
|
|
Machine Translation (SP)
|
100% |
765
13.2 IPS |
|
|
Machine Translation (HP)
|
100% |
894
15.4 IPS |
|
|
Machine Translation (Q)
|
98% |
755
13.0 IPS |
