iPhone 13 Pro
Geekbench AI Score
3203
Single Precision Score
5591
Half Precision Score
4546
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| User | oridwanbello |
| Upload Date | March 12 2025 10:43 PM |
| Views | 7 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple A15 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 18.3.1 |
| 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 | 5.54 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1355
251.9 IPS |
|
|
Image Classification (HP)
|
100% |
2345
436.0 IPS |
|
|
Image Classification (Q)
|
96% |
1625
303.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
1281
20.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
1993
32.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
2477
40.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
6152
7.18 IPS |
|
|
Pose Estimation (HP)
|
100% |
13610
15.9 IPS |
|
|
Pose Estimation (Q)
|
95% |
11670
13.7 IPS |
|
|
Object Detection (SP)
|
100% |
1432
113.6 IPS |
|
|
Object Detection (HP)
|
97% |
2718
216.4 IPS |
|
|
Object Detection (Q)
|
94% |
1927
153.6 IPS |
|
|
Face Detection (SP)
|
100% |
2645
31.4 IPS |
|
|
Face Detection (HP)
|
100% |
5664
67.3 IPS |
|
|
Face Detection (Q)
|
100% |
3163
37.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
5319
41.0 IPS |
|
|
Depth Estimation (HP)
|
98% |
10961
84.7 IPS |
|
|
Depth Estimation (Q)
|
85% |
7563
59.1 IPS |
|
|
Style Transfer (SP)
|
100% |
17110
22.0 IPS |
|
|
Style Transfer (HP)
|
100% |
26331
33.8 IPS |
|
|
Style Transfer (Q)
|
96% |
22044
28.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3870
142.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4589
169.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3469
128.1 IPS |
|
|
Text Classification (SP)
|
100% |
2409
3.22 KIPS |
|
|
Text Classification (HP)
|
100% |
4088
5.46 KIPS |
|
|
Text Classification (Q)
|
93% |
4067
5.46 KIPS |
|
|
Machine Translation (SP)
|
100% |
3315
57.1 IPS |
|
|
Machine Translation (HP)
|
98% |
5636
97.4 IPS |
|
|
Machine Translation (Q)
|
98% |
5609
96.9 IPS |
