iPhone 13
Geekbench AI Score
1581
Single Precision Score
2633
Half Precision Score
2109
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| Upload Date | December 13 2024 10:44 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple A15 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 18.2 |
| Model | iPhone 13 |
| Model ID | iPhone14,5 |
| Motherboard | D17AP |
| 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 | 3.58 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
593
110.4 IPS |
|
|
Image Classification (HP)
|
100% |
1051
195.5 IPS |
|
|
Image Classification (Q)
|
96% |
726
135.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
706
11.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
1008
16.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
1150
18.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
2980
3.48 IPS |
|
|
Pose Estimation (HP)
|
100% |
6319
7.37 IPS |
|
|
Pose Estimation (Q)
|
95% |
5471
6.41 IPS |
|
|
Object Detection (SP)
|
100% |
656
52.0 IPS |
|
|
Object Detection (HP)
|
97% |
1213
96.6 IPS |
|
|
Object Detection (Q)
|
94% |
849
67.7 IPS |
|
|
Face Detection (SP)
|
100% |
1600
19.0 IPS |
|
|
Face Detection (HP)
|
100% |
2637
31.3 IPS |
|
|
Face Detection (Q)
|
100% |
1486
17.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
2389
18.4 IPS |
|
|
Depth Estimation (HP)
|
98% |
4890
37.8 IPS |
|
|
Depth Estimation (Q)
|
85% |
3308
25.9 IPS |
|
|
Style Transfer (SP)
|
100% |
7916
10.2 IPS |
|
|
Style Transfer (HP)
|
100% |
12048
15.5 IPS |
|
|
Style Transfer (Q)
|
96% |
10055
13.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1800
66.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2192
80.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
1583
58.5 IPS |
|
|
Text Classification (SP)
|
100% |
1161
1.55 KIPS |
|
|
Text Classification (HP)
|
100% |
1998
2.67 KIPS |
|
|
Text Classification (Q)
|
93% |
1990
2.67 KIPS |
|
|
Machine Translation (SP)
|
100% |
1894
32.6 IPS |
|
|
Machine Translation (HP)
|
98% |
2903
50.2 IPS |
|
|
Machine Translation (Q)
|
98% |
2890
49.9 IPS |
