iPhone 13 Pro
Geekbench AI Score
1553
Single Precision Score
2655
Half Precision Score
2142
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| User | nbAlshareef |
| Upload Date | December 17 2025 05:19 PM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple A15 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 18.5 |
| 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% |
560
104.2 IPS |
|
|
Image Classification (HP)
|
100% |
1043
194.0 IPS |
|
|
Image Classification (Q)
|
96% |
715
133.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
687
11.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
970
15.7 IPS |
|
|
Image Segmentation (Q)
|
99% |
1119
18.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
2928
3.42 IPS |
|
|
Pose Estimation (HP)
|
100% |
6524
7.61 IPS |
|
|
Pose Estimation (Q)
|
95% |
5587
6.55 IPS |
|
|
Object Detection (SP)
|
100% |
641
50.8 IPS |
|
|
Object Detection (HP)
|
97% |
1199
95.5 IPS |
|
|
Object Detection (Q)
|
94% |
860
68.5 IPS |
|
|
Face Detection (SP)
|
100% |
1506
17.9 IPS |
|
|
Face Detection (HP)
|
100% |
2573
30.6 IPS |
|
|
Face Detection (Q)
|
100% |
1461
17.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
2427
18.7 IPS |
|
|
Depth Estimation (HP)
|
98% |
4599
35.6 IPS |
|
|
Depth Estimation (Q)
|
85% |
3201
25.0 IPS |
|
|
Style Transfer (SP)
|
100% |
7886
10.1 IPS |
|
|
Style Transfer (HP)
|
100% |
12563
16.2 IPS |
|
|
Style Transfer (Q)
|
96% |
10323
13.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1785
65.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2202
81.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
1652
61.0 IPS |
|
|
Text Classification (SP)
|
100% |
1176
1.57 KIPS |
|
|
Text Classification (HP)
|
100% |
2090
2.79 KIPS |
|
|
Text Classification (Q)
|
93% |
2076
2.79 KIPS |
|
|
Machine Translation (SP)
|
100% |
1879
32.4 IPS |
|
|
Machine Translation (HP)
|
98% |
3219
55.6 IPS |
|
|
Machine Translation (Q)
|
98% |
3208
55.4 IPS |
