iPhone 13 Pro
Geekbench AI Score
3130
Single Precision Score
5599
Half Precision Score
4505
Quantized Score
Geekbench AI 1.4.0 for iOS AArch64
Result Information
| Upload Date | September 05 2025 01:10 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple A15 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 18.6.2 |
| 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% |
1339
249.1 IPS |
|
|
Image Classification (HP)
|
100% |
2339
435.1 IPS |
|
|
Image Classification (Q)
|
96% |
1603
299.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
1271
20.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
1916
31.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
2398
38.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
6045
7.05 IPS |
|
|
Pose Estimation (HP)
|
100% |
13894
16.2 IPS |
|
|
Pose Estimation (Q)
|
95% |
11565
13.6 IPS |
|
|
Object Detection (SP)
|
100% |
1354
107.4 IPS |
|
|
Object Detection (HP)
|
97% |
2607
207.5 IPS |
|
|
Object Detection (Q)
|
94% |
1864
148.6 IPS |
|
|
Face Detection (SP)
|
100% |
2594
30.8 IPS |
|
|
Face Detection (HP)
|
100% |
5382
64.0 IPS |
|
|
Face Detection (Q)
|
100% |
3001
35.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
5055
38.9 IPS |
|
|
Depth Estimation (HP)
|
98% |
10240
79.2 IPS |
|
|
Depth Estimation (Q)
|
85% |
6965
54.4 IPS |
|
|
Style Transfer (SP)
|
100% |
15852
20.4 IPS |
|
|
Style Transfer (HP)
|
100% |
26789
34.4 IPS |
|
|
Style Transfer (Q)
|
96% |
21737
28.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3654
134.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4796
177.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3540
130.7 IPS |
|
|
Text Classification (SP)
|
100% |
2429
3.24 KIPS |
|
|
Text Classification (HP)
|
100% |
4278
5.71 KIPS |
|
|
Text Classification (Q)
|
93% |
4228
5.67 KIPS |
|
|
Machine Translation (SP)
|
100% |
3518
60.6 IPS |
|
|
Machine Translation (HP)
|
98% |
6166
106.6 IPS |
|
|
Machine Translation (Q)
|
98% |
6111
105.6 IPS |
