iPhone 13 Pro
Geekbench AI Score
4008
Single Precision Score
4551
Half Precision Score
4316
Quantized Score
Geekbench AI 1.6.1 for iOS AArch64
Result Information
| User | Pijiuhua |
| Upload Date | January 11 2026 05:46 AM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple A15 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 26.1 |
| 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% |
1561
290.2 IPS |
|
|
Image Classification (HP)
|
100% |
1632
303.6 IPS |
|
|
Image Classification (Q)
|
96% |
1763
329.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
2789
45.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
2989
48.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
2859
46.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
11513
13.4 IPS |
|
|
Pose Estimation (HP)
|
100% |
13125
15.3 IPS |
|
|
Pose Estimation (Q)
|
96% |
12673
14.8 IPS |
|
|
Object Detection (SP)
|
100% |
2046
162.3 IPS |
|
|
Object Detection (HP)
|
100% |
2019
160.1 IPS |
|
|
Object Detection (Q)
|
92% |
1862
148.6 IPS |
|
|
Face Detection (SP)
|
100% |
4956
58.9 IPS |
|
|
Face Detection (HP)
|
100% |
6490
77.1 IPS |
|
|
Face Detection (Q)
|
100% |
5004
59.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
8801
67.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
9458
72.9 IPS |
|
|
Depth Estimation (Q)
|
86% |
8510
66.5 IPS |
|
|
Style Transfer (SP)
|
100% |
18743
24.1 IPS |
|
|
Style Transfer (HP)
|
100% |
23289
29.9 IPS |
|
|
Style Transfer (Q)
|
96% |
22950
29.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4879
180.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4898
180.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4409
162.8 IPS |
|
|
Text Classification (SP)
|
100% |
2600
3.47 KIPS |
|
|
Text Classification (HP)
|
99% |
4164
5.56 KIPS |
|
|
Text Classification (Q)
|
93% |
4142
5.56 KIPS |
|
|
Machine Translation (SP)
|
100% |
1008
17.4 IPS |
|
|
Machine Translation (HP)
|
100% |
1013
17.4 IPS |
|
|
Machine Translation (Q)
|
98% |
1059
18.3 IPS |
