iPhone 13 Pro
Geekbench AI Score
3177
Single Precision Score
5562
Half Precision Score
4520
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| Upload Date | March 20 2025 06:32 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple A15 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 18.3.2 |
| 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% |
1323
246.0 IPS |
|
|
Image Classification (HP)
|
100% |
2357
438.3 IPS |
|
|
Image Classification (Q)
|
96% |
1625
303.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
1302
21.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
1990
32.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
2482
40.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
5138
6.00 IPS |
|
|
Pose Estimation (HP)
|
100% |
11835
13.8 IPS |
|
|
Pose Estimation (Q)
|
95% |
10215
12.0 IPS |
|
|
Object Detection (SP)
|
100% |
1462
116.0 IPS |
|
|
Object Detection (HP)
|
97% |
2754
219.3 IPS |
|
|
Object Detection (Q)
|
94% |
1941
154.8 IPS |
|
|
Face Detection (SP)
|
100% |
2698
32.1 IPS |
|
|
Face Detection (HP)
|
100% |
5771
68.6 IPS |
|
|
Face Detection (Q)
|
100% |
3237
38.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
5447
42.0 IPS |
|
|
Depth Estimation (HP)
|
98% |
11095
85.8 IPS |
|
|
Depth Estimation (Q)
|
85% |
7629
59.6 IPS |
|
|
Style Transfer (SP)
|
100% |
16962
21.8 IPS |
|
|
Style Transfer (HP)
|
100% |
26738
34.4 IPS |
|
|
Style Transfer (Q)
|
96% |
22089
28.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3961
146.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4637
171.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3497
129.1 IPS |
|
|
Text Classification (SP)
|
100% |
2423
3.23 KIPS |
|
|
Text Classification (HP)
|
100% |
4149
5.54 KIPS |
|
|
Text Classification (Q)
|
93% |
4116
5.52 KIPS |
|
|
Machine Translation (SP)
|
100% |
3392
58.4 IPS |
|
|
Machine Translation (HP)
|
98% |
5637
97.4 IPS |
|
|
Machine Translation (Q)
|
98% |
5681
98.2 IPS |
