iPhone 13 Pro
Geekbench AI Score
3977
Single Precision Score
4425
Half Precision Score
4181
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| User | Kokkinho |
| Upload Date | April 30 2025 04:30 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% |
1671
310.8 IPS |
|
|
Image Classification (HP)
|
100% |
1504
279.6 IPS |
|
|
Image Classification (Q)
|
96% |
1632
304.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
2794
45.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
2888
46.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
2792
45.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
11332
13.2 IPS |
|
|
Pose Estimation (HP)
|
100% |
12298
14.4 IPS |
|
|
Pose Estimation (Q)
|
96% |
11983
14.0 IPS |
|
|
Object Detection (SP)
|
100% |
1929
153.0 IPS |
|
|
Object Detection (HP)
|
100% |
1984
157.4 IPS |
|
|
Object Detection (Q)
|
92% |
1830
146.1 IPS |
|
|
Face Detection (SP)
|
100% |
4856
57.7 IPS |
|
|
Face Detection (HP)
|
100% |
6098
72.5 IPS |
|
|
Face Detection (Q)
|
100% |
4912
58.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
8495
65.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
9017
69.5 IPS |
|
|
Depth Estimation (Q)
|
85% |
8304
64.9 IPS |
|
|
Style Transfer (SP)
|
100% |
18853
24.2 IPS |
|
|
Style Transfer (HP)
|
100% |
23386
30.1 IPS |
|
|
Style Transfer (Q)
|
96% |
22521
29.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4922
181.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4986
184.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4338
160.2 IPS |
|
|
Text Classification (SP)
|
100% |
2447
3.27 KIPS |
|
|
Text Classification (HP)
|
100% |
4196
5.60 KIPS |
|
|
Text Classification (Q)
|
93% |
4158
5.58 KIPS |
|
|
Machine Translation (SP)
|
100% |
1037
17.9 IPS |
|
|
Machine Translation (HP)
|
100% |
1011
17.4 IPS |
|
|
Machine Translation (Q)
|
98% |
988
17.1 IPS |
