iPhone 13 Pro
Geekbench AI Score
3169
Single Precision Score
5793
Half Precision Score
4729
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| User | Buschiiiii |
| Upload Date | October 10 2025 09:17 AM |
| Views | 6 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple A15 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 26.0.1 |
| 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 | 5.53 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1257
233.7 IPS |
|
|
Image Classification (HP)
|
100% |
2392
444.9 IPS |
|
|
Image Classification (Q)
|
96% |
1665
311.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
1263
20.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
1986
32.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
2449
39.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
6095
7.11 IPS |
|
|
Pose Estimation (HP)
|
100% |
14558
17.0 IPS |
|
|
Pose Estimation (Q)
|
95% |
12480
14.6 IPS |
|
|
Object Detection (SP)
|
100% |
1360
107.9 IPS |
|
|
Object Detection (HP)
|
97% |
2753
219.2 IPS |
|
|
Object Detection (Q)
|
94% |
1981
157.9 IPS |
|
|
Face Detection (SP)
|
100% |
2668
31.7 IPS |
|
|
Face Detection (HP)
|
100% |
5702
67.7 IPS |
|
|
Face Detection (Q)
|
100% |
3233
38.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
5227
40.3 IPS |
|
|
Depth Estimation (HP)
|
98% |
10645
82.3 IPS |
|
|
Depth Estimation (Q)
|
85% |
7482
58.5 IPS |
|
|
Style Transfer (SP)
|
100% |
17243
22.2 IPS |
|
|
Style Transfer (HP)
|
100% |
27213
35.0 IPS |
|
|
Style Transfer (Q)
|
96% |
22520
29.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3644
134.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4876
180.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3698
136.5 IPS |
|
|
Text Classification (SP)
|
100% |
2596
3.47 KIPS |
|
|
Text Classification (HP)
|
99% |
4187
5.59 KIPS |
|
|
Text Classification (Q)
|
93% |
4151
5.57 KIPS |
|
|
Machine Translation (SP)
|
100% |
3421
58.9 IPS |
|
|
Machine Translation (HP)
|
98% |
6632
114.6 IPS |
|
|
Machine Translation (Q)
|
98% |
6636
114.7 IPS |
