iPhone 13 Pro
Geekbench AI Score
3748
Single Precision Score
4235
Half Precision Score
3774
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| User | oridwanbello |
| Upload Date | March 12 2025 10:32 PM |
| Views | 6 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| 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% |
1485
276.1 IPS |
|
|
Image Classification (HP)
|
100% |
1568
291.7 IPS |
|
|
Image Classification (Q)
|
97% |
1527
284.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
2192
35.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
2501
40.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
2526
41.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
11456
13.4 IPS |
|
|
Pose Estimation (HP)
|
100% |
12574
14.7 IPS |
|
|
Pose Estimation (Q)
|
95% |
11727
13.7 IPS |
|
|
Object Detection (SP)
|
100% |
2009
159.3 IPS |
|
|
Object Detection (HP)
|
100% |
2054
162.9 IPS |
|
|
Object Detection (Q)
|
91% |
1640
131.1 IPS |
|
|
Face Detection (SP)
|
100% |
4820
57.3 IPS |
|
|
Face Detection (HP)
|
100% |
6117
72.7 IPS |
|
|
Face Detection (Q)
|
100% |
4119
48.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
8589
66.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
9184
70.8 IPS |
|
|
Depth Estimation (Q)
|
85% |
7651
59.8 IPS |
|
|
Style Transfer (SP)
|
100% |
18804
24.2 IPS |
|
|
Style Transfer (HP)
|
100% |
23361
30.0 IPS |
|
|
Style Transfer (Q)
|
96% |
21777
28.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4772
176.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4995
184.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4078
150.6 IPS |
|
|
Text Classification (SP)
|
100% |
2443
3.26 KIPS |
|
|
Text Classification (HP)
|
100% |
4181
5.58 KIPS |
|
|
Text Classification (Q)
|
93% |
4158
5.58 KIPS |
|
|
Machine Translation (SP)
|
100% |
805
13.9 IPS |
|
|
Machine Translation (HP)
|
100% |
670
11.5 IPS |
|
|
Machine Translation (Q)
|
98% |
680
11.8 IPS |
