iPhone 13 Pro
Geekbench AI Score
4017
Single Precision Score
4429
Half Precision Score
4324
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| User | Pijiuhua |
| Upload Date | December 04 2025 09:47 AM |
| Views | 6 |
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% |
1614
300.2 IPS |
|
|
Image Classification (HP)
|
100% |
1325
246.4 IPS |
|
|
Image Classification (Q)
|
96% |
1616
301.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
2827
45.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
2925
47.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
2795
45.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
11355
13.2 IPS |
|
|
Pose Estimation (HP)
|
100% |
12753
14.9 IPS |
|
|
Pose Estimation (Q)
|
96% |
12402
14.5 IPS |
|
|
Object Detection (SP)
|
100% |
1924
152.6 IPS |
|
|
Object Detection (HP)
|
100% |
1993
158.1 IPS |
|
|
Object Detection (Q)
|
92% |
1906
152.2 IPS |
|
|
Face Detection (SP)
|
100% |
5065
60.2 IPS |
|
|
Face Detection (HP)
|
100% |
6124
72.8 IPS |
|
|
Face Detection (Q)
|
100% |
5006
59.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
8582
66.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
9350
72.0 IPS |
|
|
Depth Estimation (Q)
|
86% |
8602
67.2 IPS |
|
|
Style Transfer (SP)
|
100% |
18824
24.2 IPS |
|
|
Style Transfer (HP)
|
100% |
23744
30.5 IPS |
|
|
Style Transfer (Q)
|
96% |
23065
29.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4962
183.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
5178
191.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4617
170.5 IPS |
|
|
Text Classification (SP)
|
100% |
2540
3.39 KIPS |
|
|
Text Classification (HP)
|
99% |
4135
5.52 KIPS |
|
|
Text Classification (Q)
|
93% |
4111
5.52 KIPS |
|
|
Machine Translation (SP)
|
100% |
1065
18.3 IPS |
|
|
Machine Translation (HP)
|
100% |
1014
17.5 IPS |
|
|
Machine Translation (Q)
|
98% |
1136
19.6 IPS |
