iPhone 13 Pro
Geekbench AI Score
3993
Single Precision Score
4680
Half Precision Score
4271
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | November 09 2025 04:44 AM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| 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% |
1600
297.6 IPS |
|
|
Image Classification (HP)
|
100% |
1758
326.9 IPS |
|
|
Image Classification (Q)
|
96% |
1679
313.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
2847
46.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
2975
48.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
2848
46.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
11521
13.4 IPS |
|
|
Pose Estimation (HP)
|
100% |
13013
15.2 IPS |
|
|
Pose Estimation (Q)
|
96% |
12657
14.8 IPS |
|
|
Object Detection (SP)
|
100% |
1943
154.1 IPS |
|
|
Object Detection (HP)
|
100% |
2116
167.9 IPS |
|
|
Object Detection (Q)
|
92% |
1828
145.9 IPS |
|
|
Face Detection (SP)
|
100% |
4907
58.3 IPS |
|
|
Face Detection (HP)
|
100% |
6491
77.1 IPS |
|
|
Face Detection (Q)
|
100% |
4780
56.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
8748
67.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
9734
75.0 IPS |
|
|
Depth Estimation (Q)
|
86% |
8527
66.6 IPS |
|
|
Style Transfer (SP)
|
100% |
18726
24.1 IPS |
|
|
Style Transfer (HP)
|
100% |
23320
30.0 IPS |
|
|
Style Transfer (Q)
|
96% |
23108
29.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4894
180.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
5314
196.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4533
167.4 IPS |
|
|
Text Classification (SP)
|
100% |
2600
3.47 KIPS |
|
|
Text Classification (HP)
|
99% |
4164
5.56 KIPS |
|
|
Text Classification (Q)
|
93% |
4133
5.55 KIPS |
|
|
Machine Translation (SP)
|
100% |
988
17.0 IPS |
|
|
Machine Translation (HP)
|
100% |
1074
18.5 IPS |
|
|
Machine Translation (Q)
|
98% |
1035
17.9 IPS |
