iPhone 13 Pro
Geekbench AI Score
2337
Single Precision Score
3853
Half Precision Score
3347
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| User | Pijiuhua |
| Upload Date | July 12 2025 04:45 AM |
| 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
252.4 IPS |
|
|
Image Classification (HP)
|
100% |
2406
447.4 IPS |
|
|
Image Classification (Q)
|
96% |
1641
306.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
1248
20.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
1813
29.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
2210
35.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
4688
5.47 IPS |
|
|
Pose Estimation (HP)
|
100% |
7993
9.33 IPS |
|
|
Pose Estimation (Q)
|
95% |
7878
9.23 IPS |
|
|
Object Detection (SP)
|
100% |
935
74.2 IPS |
|
|
Object Detection (HP)
|
97% |
1215
96.7 IPS |
|
|
Object Detection (Q)
|
94% |
1063
84.7 IPS |
|
|
Face Detection (SP)
|
100% |
2161
25.7 IPS |
|
|
Face Detection (HP)
|
100% |
3817
45.4 IPS |
|
|
Face Detection (Q)
|
100% |
2108
25.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
3258
25.1 IPS |
|
|
Depth Estimation (HP)
|
98% |
5650
43.7 IPS |
|
|
Depth Estimation (Q)
|
85% |
3366
26.3 IPS |
|
|
Style Transfer (SP)
|
100% |
9470
12.2 IPS |
|
|
Style Transfer (HP)
|
100% |
26016
33.4 IPS |
|
|
Style Transfer (Q)
|
96% |
14931
19.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1928
71.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2978
109.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
2556
94.4 IPS |
|
|
Text Classification (SP)
|
100% |
1716
2.29 KIPS |
|
|
Text Classification (HP)
|
99% |
3460
4.62 KIPS |
|
|
Text Classification (Q)
|
93% |
4186
5.62 KIPS |
|
|
Machine Translation (SP)
|
100% |
2970
51.2 IPS |
|
|
Machine Translation (HP)
|
98% |
2945
50.9 IPS |
|
|
Machine Translation (Q)
|
98% |
5128
88.6 IPS |
