iPhone 13 Pro
Geekbench AI Score
3929
Single Precision Score
4442
Half Precision Score
4188
Quantized Score
Geekbench AI 1.4.0 for iOS AArch64
Result Information
| User | Apuokenas |
| Upload Date | July 07 2025 09:16 PM |
| Views | 6 |
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% |
1690
314.4 IPS |
|
|
Image Classification (HP)
|
100% |
1622
301.7 IPS |
|
|
Image Classification (Q)
|
96% |
1620
302.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
2794
45.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
2938
47.6 IPS |
|
|
Image Segmentation (Q)
|
99% |
2752
44.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
11254
13.1 IPS |
|
|
Pose Estimation (HP)
|
100% |
12663
14.8 IPS |
|
|
Pose Estimation (Q)
|
96% |
12400
14.5 IPS |
|
|
Object Detection (SP)
|
100% |
2006
159.1 IPS |
|
|
Object Detection (HP)
|
100% |
2013
159.7 IPS |
|
|
Object Detection (Q)
|
92% |
1835
146.5 IPS |
|
|
Face Detection (SP)
|
100% |
4756
56.5 IPS |
|
|
Face Detection (HP)
|
100% |
6259
74.4 IPS |
|
|
Face Detection (Q)
|
100% |
4960
58.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
8498
65.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
9129
70.3 IPS |
|
|
Depth Estimation (Q)
|
86% |
8521
66.6 IPS |
|
|
Style Transfer (SP)
|
100% |
18882
24.3 IPS |
|
|
Style Transfer (HP)
|
100% |
19932
25.6 IPS |
|
|
Style Transfer (Q)
|
96% |
19371
25.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4263
157.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4837
178.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4451
164.4 IPS |
|
|
Text Classification (SP)
|
100% |
2445
3.26 KIPS |
|
|
Text Classification (HP)
|
100% |
4233
5.65 KIPS |
|
|
Text Classification (Q)
|
93% |
4216
5.66 KIPS |
|
|
Machine Translation (SP)
|
100% |
1035
17.8 IPS |
|
|
Machine Translation (HP)
|
100% |
1056
18.2 IPS |
|
|
Machine Translation (Q)
|
98% |
1066
18.4 IPS |
