iPhone 13 Pro
Geekbench AI Score
3962
Single Precision Score
4541
Half Precision Score
4231
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | September 30 2025 01:01 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple A15 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 18.7 |
| 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% |
1558
289.7 IPS |
|
|
Image Classification (HP)
|
100% |
1655
307.8 IPS |
|
|
Image Classification (Q)
|
96% |
1562
291.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
2813
45.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
2909
47.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
2797
45.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
11269
13.1 IPS |
|
|
Pose Estimation (HP)
|
100% |
12689
14.8 IPS |
|
|
Pose Estimation (Q)
|
96% |
12341
14.5 IPS |
|
|
Object Detection (SP)
|
100% |
1977
156.8 IPS |
|
|
Object Detection (HP)
|
100% |
2015
159.9 IPS |
|
|
Object Detection (Q)
|
92% |
1829
146.0 IPS |
|
|
Face Detection (SP)
|
100% |
4792
56.9 IPS |
|
|
Face Detection (HP)
|
100% |
6258
74.4 IPS |
|
|
Face Detection (Q)
|
100% |
4929
58.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
8528
65.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
9240
71.2 IPS |
|
|
Depth Estimation (Q)
|
86% |
8453
66.0 IPS |
|
|
Style Transfer (SP)
|
100% |
18875
24.3 IPS |
|
|
Style Transfer (HP)
|
100% |
23771
30.6 IPS |
|
|
Style Transfer (Q)
|
96% |
22916
29.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4901
181.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
5087
187.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4234
156.3 IPS |
|
|
Text Classification (SP)
|
100% |
2471
3.30 KIPS |
|
|
Text Classification (HP)
|
100% |
4241
5.66 KIPS |
|
|
Text Classification (Q)
|
93% |
4215
5.66 KIPS |
|
|
Machine Translation (SP)
|
100% |
1045
18.0 IPS |
|
|
Machine Translation (HP)
|
100% |
1023
17.6 IPS |
|
|
Machine Translation (Q)
|
98% |
1096
18.9 IPS |
