iPhone 13
Geekbench AI Score
3219
Single Precision Score
19383
Half Precision Score
22795
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| User | nugaetechnicae |
| Upload Date | April 07 2025 01:24 PM |
| Views | 8 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple A15 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 18.4 |
| 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% |
1334
248.0 IPS |
|
|
Image Classification (HP)
|
100% |
7961
1.48 KIPS |
|
|
Image Classification (Q)
|
96% |
9874
1.84 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1315
21.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
13499
218.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
14855
240.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
6032
7.04 IPS |
|
|
Pose Estimation (HP)
|
100% |
91789
107.1 IPS |
|
|
Pose Estimation (Q)
|
95% |
96139
112.7 IPS |
|
|
Object Detection (SP)
|
100% |
1405
111.5 IPS |
|
|
Object Detection (HP)
|
99% |
10355
823.7 IPS |
|
|
Object Detection (Q)
|
91% |
11790
942.1 IPS |
|
|
Face Detection (SP)
|
100% |
2708
32.2 IPS |
|
|
Face Detection (HP)
|
100% |
28462
338.2 IPS |
|
|
Face Detection (Q)
|
100% |
36017
428.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
5237
40.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
54984
423.6 IPS |
|
|
Depth Estimation (Q)
|
85% |
80964
632.7 IPS |
|
|
Style Transfer (SP)
|
100% |
16980
21.8 IPS |
|
|
Style Transfer (HP)
|
100% |
152739
196.3 IPS |
|
|
Style Transfer (Q)
|
96% |
171630
221.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3749
138.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
26459
977.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
28967
1.07 KIPS |
|
|
Text Classification (SP)
|
100% |
2447
3.27 KIPS |
|
|
Text Classification (HP)
|
100% |
1888
2.52 KIPS |
|
|
Text Classification (Q)
|
93% |
2215
2.97 KIPS |
|
|
Machine Translation (SP)
|
100% |
3639
62.7 IPS |
|
|
Machine Translation (HP)
|
100% |
6138
105.7 IPS |
|
|
Machine Translation (Q)
|
98% |
7098
122.7 IPS |
