iPhone 13
Geekbench AI Score
2005
Single Precision Score
3850
Half Precision Score
3099
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | November 12 2025 12:35 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| 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% |
986
183.4 IPS |
|
|
Image Classification (HP)
|
100% |
2105
391.4 IPS |
|
|
Image Classification (Q)
|
96% |
1398
261.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
855
13.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
1318
21.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
1737
28.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
3619
4.22 IPS |
|
|
Pose Estimation (HP)
|
100% |
8350
9.74 IPS |
|
|
Pose Estimation (Q)
|
95% |
7278
8.53 IPS |
|
|
Object Detection (SP)
|
100% |
822
65.2 IPS |
|
|
Object Detection (HP)
|
97% |
1725
137.3 IPS |
|
|
Object Detection (Q)
|
94% |
1229
98.0 IPS |
|
|
Face Detection (SP)
|
100% |
1869
22.2 IPS |
|
|
Face Detection (HP)
|
100% |
3713
44.1 IPS |
|
|
Face Detection (Q)
|
100% |
1988
23.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
2869
22.1 IPS |
|
|
Depth Estimation (HP)
|
98% |
6048
46.8 IPS |
|
|
Depth Estimation (Q)
|
85% |
4324
33.8 IPS |
|
|
Style Transfer (SP)
|
100% |
9276
11.9 IPS |
|
|
Style Transfer (HP)
|
100% |
15209
19.6 IPS |
|
|
Style Transfer (Q)
|
96% |
11693
15.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2020
74.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2988
110.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
2144
79.2 IPS |
|
|
Text Classification (SP)
|
100% |
1944
2.59 KIPS |
|
|
Text Classification (HP)
|
99% |
4001
5.34 KIPS |
|
|
Text Classification (Q)
|
93% |
3986
5.35 KIPS |
|
|
Machine Translation (SP)
|
100% |
2150
37.0 IPS |
|
|
Machine Translation (HP)
|
98% |
4387
75.8 IPS |
|
|
Machine Translation (Q)
|
98% |
4383
75.7 IPS |
