iPhone 13
Geekbench AI Score
1849
Single Precision Score
11037
Half Precision Score
11426
Quantized Score
Geekbench AI 1.0.0 for iOS AArch64
Result Information
| User | deutros |
| Upload Date | August 16 2024 01:21 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple A15 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 17.6.1 |
| 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 | 3.54 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
922
171.5 IPS |
|
|
Image Classification (HP)
|
100% |
4444
826.4 IPS |
|
|
Image Classification (Q)
|
99% |
4847
904.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
616
9.99 IPS |
|
|
Image Segmentation (HP)
|
100% |
4110
66.6 IPS |
|
|
Image Segmentation (Q)
|
100% |
3864
62.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
5060
5.90 IPS |
|
|
Pose Estimation (HP)
|
100% |
71574
83.5 IPS |
|
|
Pose Estimation (Q)
|
94% |
72963
85.6 IPS |
|
|
Object Detection (SP)
|
100% |
951
75.5 IPS |
|
|
Object Detection (HP)
|
99% |
5494
437.0 IPS |
|
|
Object Detection (Q)
|
93% |
6413
511.7 IPS |
|
|
Face Detection (SP)
|
100% |
1609
19.1 IPS |
|
|
Face Detection (HP)
|
100% |
10620
126.2 IPS |
|
|
Face Detection (Q)
|
100% |
11468
136.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
3106
23.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
35586
274.2 IPS |
|
|
Depth Estimation (Q)
|
97% |
37525
290.1 IPS |
|
|
Style Transfer (SP)
|
100% |
9251
11.9 IPS |
|
|
Style Transfer (HP)
|
100% |
104468
134.3 IPS |
|
|
Style Transfer (Q)
|
100% |
103821
133.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2792
103.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
13531
499.6 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
15097
559.3 IPS |
|
|
Text Classification (SP)
|
100% |
987
1.32 KIPS |
|
|
Text Classification (HP)
|
100% |
3421
4.57 KIPS |
|
|
Text Classification (Q)
|
93% |
3097
4.16 KIPS |
|
|
Machine Translation (SP)
|
100% |
1342
23.1 IPS |
|
|
Machine Translation (HP)
|
100% |
2045
35.2 IPS |
|
|
Machine Translation (Q)
|
98% |
2073
35.8 IPS |
