iPhone 13 Pro
Geekbench AI Score
3904
Single Precision Score
4392
Half Precision Score
4194
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| User | jcpenni |
| Upload Date | September 17 2025 07:22 PM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple A15 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 26.0 |
| 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 | 5.53 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1623
301.8 IPS |
|
|
Image Classification (HP)
|
100% |
1717
319.3 IPS |
|
|
Image Classification (Q)
|
96% |
1562
291.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
2836
46.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
2938
47.6 IPS |
|
|
Image Segmentation (Q)
|
99% |
2793
45.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
10855
12.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
9805
11.4 IPS |
|
|
Pose Estimation (Q)
|
96% |
10575
12.4 IPS |
|
|
Object Detection (SP)
|
100% |
1660
131.7 IPS |
|
|
Object Detection (HP)
|
100% |
1920
152.3 IPS |
|
|
Object Detection (Q)
|
92% |
1875
149.7 IPS |
|
|
Face Detection (SP)
|
100% |
5000
59.4 IPS |
|
|
Face Detection (HP)
|
100% |
6375
75.7 IPS |
|
|
Face Detection (Q)
|
100% |
5147
61.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
8654
66.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
9487
73.1 IPS |
|
|
Depth Estimation (Q)
|
86% |
8655
67.6 IPS |
|
|
Style Transfer (SP)
|
100% |
18656
24.0 IPS |
|
|
Style Transfer (HP)
|
100% |
22489
28.9 IPS |
|
|
Style Transfer (Q)
|
96% |
20707
26.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4517
166.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4813
177.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4406
162.7 IPS |
|
|
Text Classification (SP)
|
100% |
2579
3.44 KIPS |
|
|
Text Classification (HP)
|
99% |
4264
5.69 KIPS |
|
|
Text Classification (Q)
|
93% |
4243
5.69 KIPS |
|
|
Machine Translation (SP)
|
100% |
1055
18.2 IPS |
|
|
Machine Translation (HP)
|
100% |
1009
17.4 IPS |
|
|
Machine Translation (Q)
|
98% |
1129
19.5 IPS |
