iPhone 13 Pro
Geekbench AI Score
4000
Single Precision Score
4516
Half Precision Score
4235
Quantized Score
Geekbench AI 1.6.1 for iOS AArch64
Result Information
| User | Pijiuhua |
| Upload Date | February 02 2026 05:28 AM |
| Views | 8 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple A15 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 18.6.2 |
| 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 | 5.54 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1723
320.4 IPS |
|
|
Image Classification (HP)
|
100% |
1570
292.1 IPS |
|
|
Image Classification (Q)
|
96% |
1649
308.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
2797
45.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
2886
46.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
2736
44.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
11297
13.2 IPS |
|
|
Pose Estimation (HP)
|
100% |
12645
14.8 IPS |
|
|
Pose Estimation (Q)
|
96% |
12351
14.5 IPS |
|
|
Object Detection (SP)
|
100% |
1955
155.0 IPS |
|
|
Object Detection (HP)
|
100% |
2008
159.3 IPS |
|
|
Object Detection (Q)
|
92% |
1835
146.5 IPS |
|
|
Face Detection (SP)
|
100% |
4866
57.8 IPS |
|
|
Face Detection (HP)
|
100% |
6263
74.4 IPS |
|
|
Face Detection (Q)
|
100% |
4947
58.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
8508
65.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
9200
70.9 IPS |
|
|
Depth Estimation (Q)
|
86% |
8506
66.4 IPS |
|
|
Style Transfer (SP)
|
100% |
18945
24.4 IPS |
|
|
Style Transfer (HP)
|
100% |
23717
30.5 IPS |
|
|
Style Transfer (Q)
|
96% |
22993
29.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4860
179.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
5018
185.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4391
162.1 IPS |
|
|
Text Classification (SP)
|
100% |
2477
3.31 KIPS |
|
|
Text Classification (HP)
|
100% |
4290
5.73 KIPS |
|
|
Text Classification (Q)
|
93% |
4268
5.73 KIPS |
|
|
Machine Translation (SP)
|
100% |
1045
18.0 IPS |
|
|
Machine Translation (HP)
|
100% |
1043
18.0 IPS |
|
|
Machine Translation (Q)
|
98% |
1002
17.3 IPS |
