iPhone 13
Geekbench AI Score
3104
Single Precision Score
5703
Half Precision Score
4608
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| User | Reseller777 |
| Upload Date | December 04 2025 01:44 PM |
| Views | 5 |
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% |
1249
232.3 IPS |
|
|
Image Classification (HP)
|
100% |
2407
447.6 IPS |
|
|
Image Classification (Q)
|
96% |
1678
313.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
1322
21.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
1981
32.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
2423
39.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
5889
6.87 IPS |
|
|
Pose Estimation (HP)
|
100% |
13801
16.1 IPS |
|
|
Pose Estimation (Q)
|
95% |
11588
13.6 IPS |
|
|
Object Detection (SP)
|
100% |
1268
100.5 IPS |
|
|
Object Detection (HP)
|
97% |
2671
212.7 IPS |
|
|
Object Detection (Q)
|
94% |
1894
151.0 IPS |
|
|
Face Detection (SP)
|
100% |
2688
31.9 IPS |
|
|
Face Detection (HP)
|
100% |
5473
65.0 IPS |
|
|
Face Detection (Q)
|
100% |
3053
36.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
5027
38.7 IPS |
|
|
Depth Estimation (HP)
|
98% |
10395
80.4 IPS |
|
|
Depth Estimation (Q)
|
85% |
7226
56.5 IPS |
|
|
Style Transfer (SP)
|
100% |
16252
20.9 IPS |
|
|
Style Transfer (HP)
|
100% |
26638
34.2 IPS |
|
|
Style Transfer (Q)
|
96% |
21564
27.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3522
130.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4901
181.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3595
132.7 IPS |
|
|
Text Classification (SP)
|
100% |
2550
3.40 KIPS |
|
|
Text Classification (HP)
|
99% |
4335
5.79 KIPS |
|
|
Text Classification (Q)
|
93% |
4372
5.87 KIPS |
|
|
Machine Translation (SP)
|
100% |
3425
59.0 IPS |
|
|
Machine Translation (HP)
|
98% |
6431
111.1 IPS |
|
|
Machine Translation (Q)
|
98% |
6471
111.8 IPS |
