iPhone 13 Pro
Geekbench AI Score
3234
Single Precision Score
19927
Half Precision Score
22668
Quantized Score
Geekbench AI 1.7.0 for iOS AArch64
Result Information
| User | Pijiuhua |
| Upload Date | April 15 2026 04:02 AM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple A15 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 18.7.7 |
| 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% |
1339
249.0 IPS |
|
|
Image Classification (HP)
|
100% |
8070
1.50 KIPS |
|
|
Image Classification (Q)
|
96% |
9200
1.72 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1284
20.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
12164
197.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
15181
246.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
6330
7.39 IPS |
|
|
Pose Estimation (HP)
|
100% |
92246
107.6 IPS |
|
|
Pose Estimation (Q)
|
95% |
92949
108.9 IPS |
|
|
Object Detection (SP)
|
100% |
1424
113.0 IPS |
|
|
Object Detection (HP)
|
99% |
10605
843.6 IPS |
|
|
Object Detection (Q)
|
91% |
12405
991.2 IPS |
|
|
Face Detection (SP)
|
100% |
2677
31.8 IPS |
|
|
Face Detection (HP)
|
100% |
29657
352.4 IPS |
|
|
Face Detection (Q)
|
100% |
36908
438.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
5255
40.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
57024
439.3 IPS |
|
|
Depth Estimation (Q)
|
85% |
72876
569.5 IPS |
|
|
Style Transfer (SP)
|
100% |
17400
22.4 IPS |
|
|
Style Transfer (HP)
|
100% |
157447
202.4 IPS |
|
|
Style Transfer (Q)
|
96% |
171173
220.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3799
140.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
26452
976.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
28374
1.05 KIPS |
|
|
Text Classification (SP)
|
100% |
2463
3.29 KIPS |
|
|
Text Classification (HP)
|
100% |
2379
3.17 KIPS |
|
|
Text Classification (Q)
|
93% |
2424
3.25 KIPS |
|
|
Machine Translation (SP)
|
100% |
3535
60.9 IPS |
|
|
Machine Translation (HP)
|
100% |
6136
105.7 IPS |
|
|
Machine Translation (Q)
|
98% |
7027
121.4 IPS |
