iPhone 13 Pro
Geekbench AI Score
1555
Single Precision Score
2656
Half Precision Score
1866
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| User | nbAlshareef |
| Upload Date | December 16 2025 03:27 PM |
| Views | 22 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple A15 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 18.5 |
| 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 | 5.54 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
576
107.1 IPS |
|
|
Image Classification (HP)
|
100% |
1047
194.7 IPS |
|
|
Image Classification (Q)
|
96% |
720
134.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
681
11.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
970
15.7 IPS |
|
|
Image Segmentation (Q)
|
99% |
1120
18.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
2949
3.44 IPS |
|
|
Pose Estimation (HP)
|
100% |
6554
7.65 IPS |
|
|
Pose Estimation (Q)
|
95% |
5518
6.47 IPS |
|
|
Object Detection (SP)
|
100% |
634
50.3 IPS |
|
|
Object Detection (HP)
|
97% |
1191
94.8 IPS |
|
|
Object Detection (Q)
|
94% |
860
68.6 IPS |
|
|
Face Detection (SP)
|
100% |
1569
18.6 IPS |
|
|
Face Detection (HP)
|
100% |
2573
30.6 IPS |
|
|
Face Detection (Q)
|
100% |
1466
17.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
2363
18.2 IPS |
|
|
Depth Estimation (HP)
|
98% |
4546
35.1 IPS |
|
|
Depth Estimation (Q)
|
86% |
798
6.23 IPS |
|
|
Style Transfer (SP)
|
100% |
7910
10.2 IPS |
|
|
Style Transfer (HP)
|
100% |
12565
16.2 IPS |
|
|
Style Transfer (Q)
|
96% |
10291
13.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1771
65.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2268
83.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
1657
61.2 IPS |
|
|
Text Classification (SP)
|
100% |
1176
1.57 KIPS |
|
|
Text Classification (HP)
|
100% |
2093
2.79 KIPS |
|
|
Text Classification (Q)
|
93% |
2085
2.80 KIPS |
|
|
Machine Translation (SP)
|
100% |
1853
31.9 IPS |
|
|
Machine Translation (HP)
|
98% |
3168
54.7 IPS |
|
|
Machine Translation (Q)
|
98% |
3228
55.8 IPS |
