iPhone 13 Pro
Geekbench AI Score
3307
Single Precision Score
19828
Half Precision Score
21831
Quantized Score
Geekbench AI 1.6.1 for iOS AArch64
Result Information
| User | Pijiuhua |
| Upload Date | February 05 2026 01:58 AM |
| Views | 6 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| 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% |
1344
249.9 IPS |
|
|
Image Classification (HP)
|
100% |
8036
1.49 KIPS |
|
|
Image Classification (Q)
|
96% |
9710
1.81 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1288
20.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
12759
206.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
14933
242.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
6544
7.64 IPS |
|
|
Pose Estimation (HP)
|
100% |
93370
108.9 IPS |
|
|
Pose Estimation (Q)
|
95% |
93733
109.9 IPS |
|
|
Object Detection (SP)
|
100% |
1471
116.7 IPS |
|
|
Object Detection (HP)
|
99% |
10189
810.5 IPS |
|
|
Object Detection (Q)
|
91% |
11770
940.5 IPS |
|
|
Face Detection (SP)
|
100% |
2724
32.4 IPS |
|
|
Face Detection (HP)
|
100% |
29250
347.6 IPS |
|
|
Face Detection (Q)
|
100% |
36356
432.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
5432
41.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
57420
442.4 IPS |
|
|
Depth Estimation (Q)
|
85% |
70255
549.0 IPS |
|
|
Style Transfer (SP)
|
100% |
17885
23.0 IPS |
|
|
Style Transfer (HP)
|
100% |
167114
214.8 IPS |
|
|
Style Transfer (Q)
|
96% |
152125
196.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3920
144.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
26533
979.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
27907
1.03 KIPS |
|
|
Text Classification (SP)
|
100% |
2450
3.27 KIPS |
|
|
Text Classification (HP)
|
100% |
2095
2.80 KIPS |
|
|
Text Classification (Q)
|
93% |
2051
2.75 KIPS |
|
|
Machine Translation (SP)
|
100% |
3694
63.6 IPS |
|
|
Machine Translation (HP)
|
100% |
6175
106.4 IPS |
|
|
Machine Translation (Q)
|
98% |
6912
119.4 IPS |
