iPhone 13
Geekbench AI Score
3176
Single Precision Score
5755
Half Precision Score
4716
Quantized Score
Geekbench AI 1.7.0 for iOS AArch64
Result Information
| Upload Date | March 19 2026 05:07 PM |
| Views | 10 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple A15 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 26.3.1 |
| 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% |
1238
230.2 IPS |
|
|
Image Classification (HP)
|
100% |
2422
450.4 IPS |
|
|
Image Classification (Q)
|
96% |
1675
312.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
1300
21.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
1985
32.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
2488
40.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
6149
7.17 IPS |
|
|
Pose Estimation (HP)
|
100% |
14517
16.9 IPS |
|
|
Pose Estimation (Q)
|
95% |
12188
14.3 IPS |
|
|
Object Detection (SP)
|
100% |
1330
105.5 IPS |
|
|
Object Detection (HP)
|
97% |
2752
219.1 IPS |
|
|
Object Detection (Q)
|
94% |
1969
157.0 IPS |
|
|
Face Detection (SP)
|
100% |
2723
32.4 IPS |
|
|
Face Detection (HP)
|
100% |
5588
66.4 IPS |
|
|
Face Detection (Q)
|
100% |
3204
38.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
5242
40.4 IPS |
|
|
Depth Estimation (HP)
|
98% |
10657
82.4 IPS |
|
|
Depth Estimation (Q)
|
85% |
7549
59.0 IPS |
|
|
Style Transfer (SP)
|
100% |
17014
21.9 IPS |
|
|
Style Transfer (HP)
|
100% |
27049
34.8 IPS |
|
|
Style Transfer (Q)
|
96% |
22038
28.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3598
132.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4725
174.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3651
134.8 IPS |
|
|
Text Classification (SP)
|
100% |
2583
3.45 KIPS |
|
|
Text Classification (HP)
|
99% |
4136
5.52 KIPS |
|
|
Text Classification (Q)
|
93% |
4168
5.59 KIPS |
|
|
Machine Translation (SP)
|
100% |
3523
60.7 IPS |
|
|
Machine Translation (HP)
|
98% |
6601
114.1 IPS |
|
|
Machine Translation (Q)
|
98% |
6722
116.2 IPS |
