iPhone 13 Pro
Geekbench AI Score
3292
Single Precision Score
19097
Half Precision Score
22013
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| Upload Date | December 23 2024 10:41 AM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple A15 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 18.2 |
| 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% |
1356
252.1 IPS |
|
|
Image Classification (HP)
|
100% |
8329
1.55 KIPS |
|
|
Image Classification (Q)
|
96% |
10241
1.91 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1300
21.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
11773
190.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
13417
217.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
6568
7.66 IPS |
|
|
Pose Estimation (HP)
|
100% |
88115
102.8 IPS |
|
|
Pose Estimation (Q)
|
95% |
94092
110.3 IPS |
|
|
Object Detection (SP)
|
100% |
1478
117.2 IPS |
|
|
Object Detection (HP)
|
99% |
10420
828.9 IPS |
|
|
Object Detection (Q)
|
91% |
11935
953.7 IPS |
|
|
Face Detection (SP)
|
100% |
2697
32.1 IPS |
|
|
Face Detection (HP)
|
100% |
27052
321.4 IPS |
|
|
Face Detection (Q)
|
100% |
33385
396.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
5415
41.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
51994
400.6 IPS |
|
|
Depth Estimation (Q)
|
85% |
76181
595.3 IPS |
|
|
Style Transfer (SP)
|
100% |
17845
22.9 IPS |
|
|
Style Transfer (HP)
|
100% |
157633
202.6 IPS |
|
|
Style Transfer (Q)
|
96% |
155970
201.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4020
148.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
26968
995.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
29777
1.10 KIPS |
|
|
Text Classification (SP)
|
100% |
2429
3.24 KIPS |
|
|
Text Classification (HP)
|
100% |
1923
2.57 KIPS |
|
|
Text Classification (Q)
|
93% |
2134
2.86 KIPS |
|
|
Machine Translation (SP)
|
100% |
3433
59.1 IPS |
|
|
Machine Translation (HP)
|
100% |
6232
107.4 IPS |
|
|
Machine Translation (Q)
|
98% |
6872
118.8 IPS |
