iPhone 13 Pro
Geekbench AI Score
2463
Single Precision Score
4038
Half Precision Score
3354
Quantized Score
Geekbench AI 1.1.0 for iOS AArch64
Result Information
| Upload Date | September 16 2024 10:36 AM |
| 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% |
787
146.4 IPS |
|
|
Image Classification (HP)
|
100% |
1260
234.3 IPS |
|
|
Image Classification (Q)
|
96% |
1172
218.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
989
16.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
956
15.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
957
15.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
2651
3.09 IPS |
|
|
Pose Estimation (HP)
|
100% |
8566
10.00 IPS |
|
|
Pose Estimation (Q)
|
95% |
7222
8.46 IPS |
|
|
Object Detection (SP)
|
100% |
1317
104.5 IPS |
|
|
Object Detection (HP)
|
97% |
1996
158.9 IPS |
|
|
Object Detection (Q)
|
94% |
1423
113.4 IPS |
|
|
Face Detection (SP)
|
100% |
2141
25.4 IPS |
|
|
Face Detection (HP)
|
100% |
3794
45.1 IPS |
|
|
Face Detection (Q)
|
100% |
2423
28.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
4587
35.3 IPS |
|
|
Depth Estimation (HP)
|
97% |
7547
58.3 IPS |
|
|
Depth Estimation (Q)
|
86% |
5706
44.5 IPS |
|
|
Style Transfer (SP)
|
100% |
13640
17.5 IPS |
|
|
Style Transfer (HP)
|
100% |
24008
30.9 IPS |
|
|
Style Transfer (Q)
|
96% |
19571
25.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3449
127.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4821
178.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3503
129.3 IPS |
|
|
Text Classification (SP)
|
100% |
2367
3.16 KIPS |
|
|
Text Classification (HP)
|
100% |
3911
5.22 KIPS |
|
|
Text Classification (Q)
|
93% |
3851
5.17 KIPS |
|
|
Machine Translation (SP)
|
100% |
2774
47.8 IPS |
|
|
Machine Translation (HP)
|
98% |
4326
74.8 IPS |
|
|
Machine Translation (Q)
|
98% |
4287
74.1 IPS |
