iPhone 13
Geekbench AI Score
3275
Single Precision Score
5659
Half Precision Score
4582
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| User | Hulkstern |
| Upload Date | March 11 2025 10:20 AM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple A15 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 18.3.1 |
| 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 | 3.58 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1352
251.4 IPS |
|
|
Image Classification (HP)
|
100% |
2348
436.7 IPS |
|
|
Image Classification (Q)
|
96% |
1625
303.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
1337
21.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
2018
32.7 IPS |
|
|
Image Segmentation (Q)
|
99% |
2495
40.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
6399
7.47 IPS |
|
|
Pose Estimation (HP)
|
100% |
13891
16.2 IPS |
|
|
Pose Estimation (Q)
|
95% |
11687
13.7 IPS |
|
|
Object Detection (SP)
|
100% |
1445
114.6 IPS |
|
|
Object Detection (HP)
|
97% |
2724
216.8 IPS |
|
|
Object Detection (Q)
|
94% |
1928
153.7 IPS |
|
|
Face Detection (SP)
|
100% |
2787
33.1 IPS |
|
|
Face Detection (HP)
|
100% |
5740
68.2 IPS |
|
|
Face Detection (Q)
|
100% |
3169
37.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
5364
41.3 IPS |
|
|
Depth Estimation (HP)
|
98% |
11126
86.0 IPS |
|
|
Depth Estimation (Q)
|
85% |
7616
59.5 IPS |
|
|
Style Transfer (SP)
|
100% |
17392
22.4 IPS |
|
|
Style Transfer (HP)
|
100% |
26670
34.3 IPS |
|
|
Style Transfer (Q)
|
96% |
22205
28.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3868
142.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4639
171.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3479
128.5 IPS |
|
|
Text Classification (SP)
|
100% |
2435
3.25 KIPS |
|
|
Text Classification (HP)
|
100% |
4194
5.60 KIPS |
|
|
Text Classification (Q)
|
93% |
4192
5.63 KIPS |
|
|
Machine Translation (SP)
|
100% |
3471
59.8 IPS |
|
|
Machine Translation (HP)
|
98% |
5679
98.1 IPS |
|
|
Machine Translation (Q)
|
98% |
5719
98.8 IPS |
