iPhone 13 Pro
Geekbench AI Score
4144
Single Precision Score
4529
Half Precision Score
4234
Quantized Score
Geekbench AI 1.7.0 for iOS AArch64
Result Information
| User | Pijiuhua |
| Upload Date | March 25 2026 09:45 PM |
| Views | 10 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| 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% |
1612
299.7 IPS |
|
|
Image Classification (HP)
|
100% |
1569
291.8 IPS |
|
|
Image Classification (Q)
|
96% |
1620
302.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
2806
45.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
2972
48.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
2746
44.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
11229
13.1 IPS |
|
|
Pose Estimation (HP)
|
100% |
12730
14.9 IPS |
|
|
Pose Estimation (Q)
|
96% |
12300
14.4 IPS |
|
|
Object Detection (SP)
|
100% |
1921
152.3 IPS |
|
|
Object Detection (HP)
|
100% |
1979
157.0 IPS |
|
|
Object Detection (Q)
|
92% |
1803
143.9 IPS |
|
|
Face Detection (SP)
|
100% |
4933
58.6 IPS |
|
|
Face Detection (HP)
|
100% |
6508
77.3 IPS |
|
|
Face Detection (Q)
|
100% |
5047
60.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
8683
66.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
9483
73.1 IPS |
|
|
Depth Estimation (Q)
|
86% |
8462
66.1 IPS |
|
|
Style Transfer (SP)
|
100% |
18883
24.3 IPS |
|
|
Style Transfer (HP)
|
100% |
23328
30.0 IPS |
|
|
Style Transfer (Q)
|
96% |
22834
29.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4793
177.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4766
176.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4322
159.6 IPS |
|
|
Text Classification (SP)
|
100% |
2485
3.32 KIPS |
|
|
Text Classification (HP)
|
100% |
4366
5.83 KIPS |
|
|
Text Classification (Q)
|
93% |
4359
5.85 KIPS |
|
|
Machine Translation (SP)
|
100% |
1592
27.4 IPS |
|
|
Machine Translation (HP)
|
100% |
1034
17.8 IPS |
|
|
Machine Translation (Q)
|
98% |
1022
17.7 IPS |
