iPhone 13 Pro
Geekbench AI Score
1977
Single Precision Score
2214
Half Precision Score
2099
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| User | Pijiuhua |
| Upload Date | October 07 2025 01:32 AM |
| Views | 14 |
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% |
1651
307.1 IPS |
|
|
Image Classification (HP)
|
100% |
1628
302.8 IPS |
|
|
Image Classification (Q)
|
96% |
1651
308.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
2812
45.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
2927
47.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
2776
45.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
11404
13.3 IPS |
|
|
Pose Estimation (HP)
|
100% |
12707
14.8 IPS |
|
|
Pose Estimation (Q)
|
96% |
12404
14.5 IPS |
|
|
Object Detection (SP)
|
100% |
1963
155.7 IPS |
|
|
Object Detection (HP)
|
100% |
1974
156.6 IPS |
|
|
Object Detection (Q)
|
92% |
1894
151.2 IPS |
|
|
Face Detection (SP)
|
100% |
5000
59.4 IPS |
|
|
Face Detection (HP)
|
100% |
6231
74.0 IPS |
|
|
Face Detection (Q)
|
100% |
5007
59.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
8504
65.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
9315
71.8 IPS |
|
|
Depth Estimation (Q)
|
86% |
8442
65.9 IPS |
|
|
Style Transfer (SP)
|
100% |
18825
24.2 IPS |
|
|
Style Transfer (HP)
|
100% |
19342
24.9 IPS |
|
|
Style Transfer (Q)
|
96% |
18674
24.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4171
154.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4896
180.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4508
166.5 IPS |
|
|
Text Classification (SP)
|
100% |
2630
3.51 KIPS |
|
|
Text Classification (HP)
|
99% |
4323
5.77 KIPS |
|
|
Text Classification (Q)
|
93% |
4347
5.83 KIPS |
|
|
Machine Translation (SP)
|
0% |
0
8.96 IPS |
|
|
Machine Translation (HP)
|
0% |
0
8.70 IPS |
|
|
Machine Translation (Q)
|
0% |
0
7.41 IPS |
