iPhone 13 Pro
Geekbench AI Score
3116
Single Precision Score
5725
Half Precision Score
4655
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | September 21 2025 01:12 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple A15 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 26.0 |
| Model | iPhone 13 Pro |
| Model ID | iPhone14,2 |
| Motherboard | D63AP |
| 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 | 5.53 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1266
235.4 IPS |
|
|
Image Classification (HP)
|
100% |
2407
447.7 IPS |
|
|
Image Classification (Q)
|
96% |
1673
312.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
1262
20.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
1941
31.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
2434
39.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
5753
6.71 IPS |
|
|
Pose Estimation (HP)
|
100% |
14147
16.5 IPS |
|
|
Pose Estimation (Q)
|
95% |
11667
13.7 IPS |
|
|
Object Detection (SP)
|
100% |
1324
105.1 IPS |
|
|
Object Detection (HP)
|
97% |
2717
216.3 IPS |
|
|
Object Detection (Q)
|
94% |
1942
154.8 IPS |
|
|
Face Detection (SP)
|
100% |
2628
31.2 IPS |
|
|
Face Detection (HP)
|
100% |
5582
66.3 IPS |
|
|
Face Detection (Q)
|
100% |
3115
37.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
5096
39.3 IPS |
|
|
Depth Estimation (HP)
|
98% |
10484
81.0 IPS |
|
|
Depth Estimation (Q)
|
85% |
7358
57.5 IPS |
|
|
Style Transfer (SP)
|
100% |
16747
21.5 IPS |
|
|
Style Transfer (HP)
|
100% |
27111
34.9 IPS |
|
|
Style Transfer (Q)
|
96% |
22231
28.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3592
132.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4832
178.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3655
135.0 IPS |
|
|
Text Classification (SP)
|
100% |
2568
3.43 KIPS |
|
|
Text Classification (HP)
|
99% |
4150
5.54 KIPS |
|
|
Text Classification (Q)
|
93% |
4236
5.68 KIPS |
|
|
Machine Translation (SP)
|
100% |
3431
59.1 IPS |
|
|
Machine Translation (HP)
|
98% |
6625
114.5 IPS |
|
|
Machine Translation (Q)
|
98% |
6568
113.5 IPS |
