iPhone 13
Geekbench AI Score
3273
Single Precision Score
20380
Half Precision Score
23108
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| User | edesattila |
| Upload Date | May 26 2025 06:09 PM |
| Views | 7 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple A15 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 18.5 |
| 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% |
1357
252.3 IPS |
|
|
Image Classification (HP)
|
100% |
8763
1.63 KIPS |
|
|
Image Classification (Q)
|
96% |
11036
2.06 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1331
21.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
12376
200.6 IPS |
|
|
Image Segmentation (Q)
|
99% |
14780
239.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
6337
7.39 IPS |
|
|
Pose Estimation (HP)
|
100% |
90909
106.1 IPS |
|
|
Pose Estimation (Q)
|
95% |
96583
113.2 IPS |
|
|
Object Detection (SP)
|
100% |
1444
114.5 IPS |
|
|
Object Detection (HP)
|
99% |
10692
850.5 IPS |
|
|
Object Detection (Q)
|
91% |
12259
979.6 IPS |
|
|
Face Detection (SP)
|
100% |
2774
33.0 IPS |
|
|
Face Detection (HP)
|
100% |
28810
342.3 IPS |
|
|
Face Detection (Q)
|
100% |
35543
422.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
5298
40.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
57192
440.6 IPS |
|
|
Depth Estimation (Q)
|
85% |
74641
583.3 IPS |
|
|
Style Transfer (SP)
|
100% |
17234
22.2 IPS |
|
|
Style Transfer (HP)
|
100% |
168233
216.3 IPS |
|
|
Style Transfer (Q)
|
96% |
169748
219.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3779
139.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
27744
1.02 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
27457
1.01 KIPS |
|
|
Text Classification (SP)
|
100% |
2447
3.27 KIPS |
|
|
Text Classification (HP)
|
100% |
2422
3.23 KIPS |
|
|
Text Classification (Q)
|
93% |
2512
3.37 KIPS |
|
|
Machine Translation (SP)
|
100% |
3651
62.9 IPS |
|
|
Machine Translation (HP)
|
100% |
6298
108.5 IPS |
|
|
Machine Translation (Q)
|
98% |
7240
125.1 IPS |
