iPhone 13 Pro
Geekbench AI Score
3127
Single Precision Score
5715
Half Precision Score
4659
Quantized Score
Geekbench AI 1.6.1 for iOS AArch64
Result Information
| User | potatogaming |
| Upload Date | January 20 2026 01:29 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple A15 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 26.2 |
| 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% |
1258
233.9 IPS |
|
|
Image Classification (HP)
|
100% |
2431
452.1 IPS |
|
|
Image Classification (Q)
|
96% |
1677
313.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
1299
21.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
1983
32.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
2440
39.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
5813
6.78 IPS |
|
|
Pose Estimation (HP)
|
100% |
14086
16.4 IPS |
|
|
Pose Estimation (Q)
|
95% |
11949
14.0 IPS |
|
|
Object Detection (SP)
|
100% |
1325
105.1 IPS |
|
|
Object Detection (HP)
|
97% |
2716
216.2 IPS |
|
|
Object Detection (Q)
|
94% |
1947
155.2 IPS |
|
|
Face Detection (SP)
|
100% |
2583
30.7 IPS |
|
|
Face Detection (HP)
|
100% |
5584
66.4 IPS |
|
|
Face Detection (Q)
|
100% |
3148
37.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
5114
39.4 IPS |
|
|
Depth Estimation (HP)
|
98% |
10533
81.4 IPS |
|
|
Depth Estimation (Q)
|
85% |
7399
57.8 IPS |
|
|
Style Transfer (SP)
|
100% |
16842
21.7 IPS |
|
|
Style Transfer (HP)
|
100% |
26827
34.5 IPS |
|
|
Style Transfer (Q)
|
96% |
22193
28.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3627
133.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4754
175.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3679
135.8 IPS |
|
|
Text Classification (SP)
|
100% |
2559
3.42 KIPS |
|
|
Text Classification (HP)
|
99% |
4101
5.47 KIPS |
|
|
Text Classification (Q)
|
93% |
4074
5.47 KIPS |
|
|
Machine Translation (SP)
|
100% |
3441
59.3 IPS |
|
|
Machine Translation (HP)
|
98% |
6556
113.3 IPS |
|
|
Machine Translation (Q)
|
98% |
6541
113.0 IPS |
