iPhone 13 Pro
Geekbench AI Score
3963
Single Precision Score
4486
Half Precision Score
4168
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| User | Petenka315 |
| Upload Date | April 27 2025 04:52 PM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple A15 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 18.4.1 |
| 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% |
1659
308.5 IPS |
|
|
Image Classification (HP)
|
100% |
1620
301.2 IPS |
|
|
Image Classification (Q)
|
96% |
1517
283.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
2763
44.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
2938
47.6 IPS |
|
|
Image Segmentation (Q)
|
99% |
2793
45.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
11365
13.3 IPS |
|
|
Pose Estimation (HP)
|
100% |
12032
14.0 IPS |
|
|
Pose Estimation (Q)
|
96% |
11894
13.9 IPS |
|
|
Object Detection (SP)
|
100% |
1954
155.0 IPS |
|
|
Object Detection (HP)
|
100% |
1988
157.7 IPS |
|
|
Object Detection (Q)
|
92% |
1793
143.1 IPS |
|
|
Face Detection (SP)
|
100% |
4898
58.2 IPS |
|
|
Face Detection (HP)
|
100% |
6453
76.7 IPS |
|
|
Face Detection (Q)
|
100% |
4994
59.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
8830
68.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
9477
73.0 IPS |
|
|
Depth Estimation (Q)
|
85% |
8393
65.6 IPS |
|
|
Style Transfer (SP)
|
100% |
17983
23.1 IPS |
|
|
Style Transfer (HP)
|
100% |
22418
28.8 IPS |
|
|
Style Transfer (Q)
|
96% |
22584
29.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5065
187.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4880
180.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4373
161.5 IPS |
|
|
Text Classification (SP)
|
100% |
2431
3.24 KIPS |
|
|
Text Classification (HP)
|
100% |
4216
5.63 KIPS |
|
|
Text Classification (Q)
|
93% |
4204
5.64 KIPS |
|
|
Machine Translation (SP)
|
100% |
981
16.9 IPS |
|
|
Machine Translation (HP)
|
100% |
1030
17.8 IPS |
|
|
Machine Translation (Q)
|
98% |
1008
17.4 IPS |
