iPhone 13 Pro
Geekbench AI Score
3961
Single Precision Score
4529
Half Precision Score
4182
Quantized Score
Geekbench AI 1.4.0 for iOS AArch64
Result Information
| Upload Date | August 06 2025 05:52 PM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple A15 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 18.5 |
| 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% |
1567
291.4 IPS |
|
|
Image Classification (HP)
|
100% |
1620
301.3 IPS |
|
|
Image Classification (Q)
|
96% |
1517
283.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
2783
45.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
2911
47.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
2781
45.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
11264
13.1 IPS |
|
|
Pose Estimation (HP)
|
100% |
12720
14.8 IPS |
|
|
Pose Estimation (Q)
|
96% |
12331
14.4 IPS |
|
|
Object Detection (SP)
|
100% |
1946
154.4 IPS |
|
|
Object Detection (HP)
|
100% |
2002
158.8 IPS |
|
|
Object Detection (Q)
|
92% |
1885
150.4 IPS |
|
|
Face Detection (SP)
|
100% |
4760
56.6 IPS |
|
|
Face Detection (HP)
|
100% |
6187
73.5 IPS |
|
|
Face Detection (Q)
|
100% |
4881
58.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
8555
65.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
9300
71.7 IPS |
|
|
Depth Estimation (Q)
|
86% |
8448
66.0 IPS |
|
|
Style Transfer (SP)
|
100% |
18836
24.2 IPS |
|
|
Style Transfer (HP)
|
100% |
23769
30.6 IPS |
|
|
Style Transfer (Q)
|
96% |
22963
29.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4960
183.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
5065
187.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4540
167.6 IPS |
|
|
Text Classification (SP)
|
100% |
2441
3.26 KIPS |
|
|
Text Classification (HP)
|
100% |
4317
5.76 KIPS |
|
|
Text Classification (Q)
|
93% |
4245
5.70 KIPS |
|
|
Machine Translation (SP)
|
100% |
1073
18.5 IPS |
|
|
Machine Translation (HP)
|
100% |
1013
17.4 IPS |
|
|
Machine Translation (Q)
|
98% |
915
15.8 IPS |
