iPhone 13 Pro
Geekbench AI Score
2846
Single Precision Score
4366
Half Precision Score
3743
Quantized Score
Geekbench AI 1.1.0 for iOS AArch64
Result Information
| Upload Date | September 18 2024 09:00 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple A15 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 17.6.1 |
| 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 | 5.50 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1357
252.4 IPS |
|
|
Image Classification (HP)
|
100% |
1751
325.7 IPS |
|
|
Image Classification (Q)
|
96% |
1304
243.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
1078
17.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
1025
16.6 IPS |
|
|
Image Segmentation (Q)
|
99% |
1519
24.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
5341
6.23 IPS |
|
|
Pose Estimation (HP)
|
100% |
12693
14.8 IPS |
|
|
Pose Estimation (Q)
|
95% |
10704
12.5 IPS |
|
|
Object Detection (SP)
|
100% |
1321
104.8 IPS |
|
|
Object Detection (HP)
|
97% |
1970
156.8 IPS |
|
|
Object Detection (Q)
|
94% |
1515
120.8 IPS |
|
|
Face Detection (SP)
|
100% |
2234
26.5 IPS |
|
|
Face Detection (HP)
|
100% |
3835
45.6 IPS |
|
|
Face Detection (Q)
|
100% |
2448
29.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
4720
36.4 IPS |
|
|
Depth Estimation (HP)
|
97% |
7836
60.6 IPS |
|
|
Depth Estimation (Q)
|
86% |
5824
45.5 IPS |
|
|
Style Transfer (SP)
|
100% |
15704
20.2 IPS |
|
|
Style Transfer (HP)
|
100% |
24934
32.1 IPS |
|
|
Style Transfer (Q)
|
96% |
20647
26.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3421
126.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4582
169.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3458
127.7 IPS |
|
|
Text Classification (SP)
|
100% |
2363
3.15 KIPS |
|
|
Text Classification (HP)
|
100% |
3774
5.04 KIPS |
|
|
Text Classification (Q)
|
93% |
3811
5.11 KIPS |
|
|
Machine Translation (SP)
|
100% |
2532
43.6 IPS |
|
|
Machine Translation (HP)
|
98% |
4331
74.8 IPS |
|
|
Machine Translation (Q)
|
98% |
4339
75.0 IPS |
