iPhone 13 Pro
Geekbench AI Score
4003
Single Precision Score
4451
Half Precision Score
4285
Quantized Score
Geekbench AI 1.6.1 for iOS AArch64
Result Information
| Upload Date | January 11 2026 04:19 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| 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% |
1636
304.3 IPS |
|
|
Image Classification (HP)
|
100% |
1381
256.9 IPS |
|
|
Image Classification (Q)
|
96% |
1661
310.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
2834
45.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
2934
47.6 IPS |
|
|
Image Segmentation (Q)
|
99% |
2837
46.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
11214
13.1 IPS |
|
|
Pose Estimation (HP)
|
100% |
12763
14.9 IPS |
|
|
Pose Estimation (Q)
|
96% |
12391
14.5 IPS |
|
|
Object Detection (SP)
|
100% |
1955
155.1 IPS |
|
|
Object Detection (HP)
|
100% |
2004
159.0 IPS |
|
|
Object Detection (Q)
|
92% |
1855
148.1 IPS |
|
|
Face Detection (SP)
|
100% |
5024
59.7 IPS |
|
|
Face Detection (HP)
|
100% |
6167
73.3 IPS |
|
|
Face Detection (Q)
|
100% |
4919
58.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
8549
65.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
9223
71.1 IPS |
|
|
Depth Estimation (Q)
|
86% |
8475
66.2 IPS |
|
|
Style Transfer (SP)
|
100% |
18845
24.2 IPS |
|
|
Style Transfer (HP)
|
100% |
23831
30.6 IPS |
|
|
Style Transfer (Q)
|
96% |
23096
29.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4898
180.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
5240
193.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4600
169.9 IPS |
|
|
Text Classification (SP)
|
100% |
2493
3.33 KIPS |
|
|
Text Classification (HP)
|
99% |
4070
5.43 KIPS |
|
|
Text Classification (Q)
|
93% |
4085
5.48 KIPS |
|
|
Machine Translation (SP)
|
100% |
1054
18.1 IPS |
|
|
Machine Translation (HP)
|
100% |
1020
17.6 IPS |
|
|
Machine Translation (Q)
|
98% |
1067
18.4 IPS |
