iPhone 13 Pro
Geekbench AI Score
2757
Single Precision Score
5212
Half Precision Score
4252
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | November 21 2025 02:31 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 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% |
1241
230.7 IPS |
|
|
Image Classification (HP)
|
100% |
2330
433.3 IPS |
|
|
Image Classification (Q)
|
96% |
1627
303.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
1210
19.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
1842
29.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
2434
39.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
5964
6.96 IPS |
|
|
Pose Estimation (HP)
|
100% |
14626
17.1 IPS |
|
|
Pose Estimation (Q)
|
95% |
11471
13.4 IPS |
|
|
Object Detection (SP)
|
100% |
897
71.2 IPS |
|
|
Object Detection (HP)
|
97% |
2326
185.2 IPS |
|
|
Object Detection (Q)
|
94% |
1512
120.5 IPS |
|
|
Face Detection (SP)
|
100% |
1996
23.7 IPS |
|
|
Face Detection (HP)
|
100% |
4269
50.7 IPS |
|
|
Face Detection (Q)
|
100% |
2738
32.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
4415
34.0 IPS |
|
|
Depth Estimation (HP)
|
98% |
9378
72.5 IPS |
|
|
Depth Estimation (Q)
|
85% |
6643
51.9 IPS |
|
|
Style Transfer (SP)
|
100% |
14803
19.0 IPS |
|
|
Style Transfer (HP)
|
100% |
23811
30.6 IPS |
|
|
Style Transfer (Q)
|
96% |
19591
25.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3220
118.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4451
164.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3288
121.4 IPS |
|
|
Text Classification (SP)
|
100% |
2518
3.36 KIPS |
|
|
Text Classification (HP)
|
99% |
4139
5.53 KIPS |
|
|
Text Classification (Q)
|
93% |
4135
5.55 KIPS |
|
|
Machine Translation (SP)
|
100% |
2987
51.5 IPS |
|
|
Machine Translation (HP)
|
98% |
5775
99.8 IPS |
|
|
Machine Translation (Q)
|
98% |
5808
100.4 IPS |
