iPhone 13
Geekbench AI Score
1889
Single Precision Score
10976
Half Precision Score
11481
Quantized Score
Geekbench AI 1.1.0 for iOS AArch64
Result Information
| Upload Date | September 16 2024 11:15 AM |
| Views | 1 |
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% |
934
173.7 IPS |
|
|
Image Classification (HP)
|
100% |
4688
871.7 IPS |
|
|
Image Classification (Q)
|
96% |
4982
930.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
620
10.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
4059
65.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
5804
94.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
5422
6.33 IPS |
|
|
Pose Estimation (HP)
|
100% |
72082
84.1 IPS |
|
|
Pose Estimation (Q)
|
95% |
71624
83.9 IPS |
|
|
Object Detection (SP)
|
100% |
981
77.8 IPS |
|
|
Object Detection (HP)
|
99% |
6337
504.1 IPS |
|
|
Object Detection (Q)
|
93% |
6088
485.8 IPS |
|
|
Face Detection (SP)
|
100% |
1661
19.7 IPS |
|
|
Face Detection (HP)
|
100% |
10693
127.1 IPS |
|
|
Face Detection (Q)
|
100% |
10990
130.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
3233
24.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
37986
292.7 IPS |
|
|
Depth Estimation (Q)
|
85% |
40930
319.8 IPS |
|
|
Style Transfer (SP)
|
100% |
9308
12.0 IPS |
|
|
Style Transfer (HP)
|
100% |
107762
138.5 IPS |
|
|
Style Transfer (Q)
|
95% |
91591
118.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2838
104.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
12990
479.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
14585
538.6 IPS |
|
|
Text Classification (SP)
|
100% |
993
1.33 KIPS |
|
|
Text Classification (HP)
|
100% |
2495
3.33 KIPS |
|
|
Text Classification (Q)
|
93% |
2474
3.32 KIPS |
|
|
Machine Translation (SP)
|
100% |
1338
23.1 IPS |
|
|
Machine Translation (HP)
|
100% |
2059
35.5 IPS |
|
|
Machine Translation (Q)
|
98% |
2123
36.7 IPS |
