iPhone 13 Pro
Geekbench AI Score
3280
Single Precision Score
5780
Half Precision Score
4733
Quantized Score
Geekbench AI 1.4.0 for iOS AArch64
Result Information
| User | Pijiuhua |
| Upload Date | August 05 2025 10:34 PM |
| Views | 7 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple A15 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 26.0 |
| 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% |
1357
252.3 IPS |
|
|
Image Classification (HP)
|
100% |
2412
448.5 IPS |
|
|
Image Classification (Q)
|
96% |
1678
313.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
1302
21.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
1981
32.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
2431
39.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
6311
7.36 IPS |
|
|
Pose Estimation (HP)
|
100% |
14300
16.7 IPS |
|
|
Pose Estimation (Q)
|
95% |
12239
14.3 IPS |
|
|
Object Detection (SP)
|
100% |
1432
113.6 IPS |
|
|
Object Detection (HP)
|
97% |
2739
218.1 IPS |
|
|
Object Detection (Q)
|
94% |
1964
156.6 IPS |
|
|
Face Detection (SP)
|
100% |
2666
31.7 IPS |
|
|
Face Detection (HP)
|
100% |
5638
67.0 IPS |
|
|
Face Detection (Q)
|
100% |
3154
37.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
5352
41.2 IPS |
|
|
Depth Estimation (HP)
|
98% |
10556
81.6 IPS |
|
|
Depth Estimation (Q)
|
85% |
7467
58.4 IPS |
|
|
Style Transfer (SP)
|
100% |
17288
22.2 IPS |
|
|
Style Transfer (HP)
|
100% |
27908
35.9 IPS |
|
|
Style Transfer (Q)
|
96% |
22904
29.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3872
143.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4876
180.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3692
136.3 IPS |
|
|
Text Classification (SP)
|
100% |
2603
3.47 KIPS |
|
|
Text Classification (HP)
|
99% |
4140
5.53 KIPS |
|
|
Text Classification (Q)
|
93% |
4272
5.73 KIPS |
|
|
Machine Translation (SP)
|
100% |
3640
62.7 IPS |
|
|
Machine Translation (HP)
|
98% |
6641
114.8 IPS |
|
|
Machine Translation (Q)
|
98% |
6765
116.9 IPS |
