iPhone 13
Geekbench AI Score
3003
Single Precision Score
5518
Half Precision Score
4435
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | December 12 2025 07:49 PM |
| Views | 4 |
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% |
1255
233.4 IPS |
|
|
Image Classification (HP)
|
100% |
2367
440.2 IPS |
|
|
Image Classification (Q)
|
96% |
1604
299.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
1255
20.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
1894
30.7 IPS |
|
|
Image Segmentation (Q)
|
99% |
2250
36.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
5298
6.18 IPS |
|
|
Pose Estimation (HP)
|
100% |
13133
15.3 IPS |
|
|
Pose Estimation (Q)
|
95% |
10754
12.6 IPS |
|
|
Object Detection (SP)
|
100% |
1230
97.5 IPS |
|
|
Object Detection (HP)
|
97% |
2522
200.8 IPS |
|
|
Object Detection (Q)
|
94% |
1804
143.8 IPS |
|
|
Face Detection (SP)
|
100% |
2601
30.9 IPS |
|
|
Face Detection (HP)
|
100% |
5355
63.6 IPS |
|
|
Face Detection (Q)
|
100% |
2952
35.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
4938
38.0 IPS |
|
|
Depth Estimation (HP)
|
98% |
10286
79.5 IPS |
|
|
Depth Estimation (Q)
|
85% |
7154
55.9 IPS |
|
|
Style Transfer (SP)
|
100% |
15717
20.2 IPS |
|
|
Style Transfer (HP)
|
100% |
25394
32.6 IPS |
|
|
Style Transfer (Q)
|
96% |
20760
26.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3417
126.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4671
172.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3522
130.0 IPS |
|
|
Text Classification (SP)
|
100% |
2530
3.38 KIPS |
|
|
Text Classification (HP)
|
99% |
4247
5.67 KIPS |
|
|
Text Classification (Q)
|
93% |
4193
5.63 KIPS |
|
|
Machine Translation (SP)
|
100% |
3338
57.5 IPS |
|
|
Machine Translation (HP)
|
98% |
6359
109.9 IPS |
|
|
Machine Translation (Q)
|
98% |
6495
112.2 IPS |
