iPhone 13
Geekbench AI Score
1875
Single Precision Score
10610
Half Precision Score
11048
Quantized Score
Geekbench AI 1.0.0 for iOS AArch64
Result Information
| User | pingwinator |
| Upload Date | August 16 2024 01:37 PM |
| Views | 6 |
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% |
948
176.3 IPS |
|
|
Image Classification (HP)
|
100% |
4736
880.7 IPS |
|
|
Image Classification (Q)
|
99% |
5091
949.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
628
10.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
3861
62.6 IPS |
|
|
Image Segmentation (Q)
|
100% |
3957
64.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
5391
6.29 IPS |
|
|
Pose Estimation (HP)
|
100% |
70064
81.8 IPS |
|
|
Pose Estimation (Q)
|
94% |
58102
68.2 IPS |
|
|
Object Detection (SP)
|
100% |
951
75.5 IPS |
|
|
Object Detection (HP)
|
99% |
5532
440.1 IPS |
|
|
Object Detection (Q)
|
93% |
6162
491.7 IPS |
|
|
Face Detection (SP)
|
100% |
1633
19.4 IPS |
|
|
Face Detection (HP)
|
100% |
10758
127.8 IPS |
|
|
Face Detection (Q)
|
100% |
11979
142.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
3135
24.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
34287
264.2 IPS |
|
|
Depth Estimation (Q)
|
97% |
38021
294.0 IPS |
|
|
Style Transfer (SP)
|
100% |
9215
11.8 IPS |
|
|
Style Transfer (HP)
|
100% |
98814
127.0 IPS |
|
|
Style Transfer (Q)
|
100% |
103316
132.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2784
102.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
13625
503.1 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
15228
564.2 IPS |
|
|
Text Classification (SP)
|
100% |
1001
1.34 KIPS |
|
|
Text Classification (HP)
|
100% |
2505
3.34 KIPS |
|
|
Text Classification (Q)
|
93% |
2511
3.37 KIPS |
|
|
Machine Translation (SP)
|
100% |
1340
23.1 IPS |
|
|
Machine Translation (HP)
|
100% |
2052
35.4 IPS |
|
|
Machine Translation (Q)
|
98% |
2089
36.1 IPS |
