iPhone 15
Geekbench AI Score
3383
Single Precision Score
6052
Half Precision Score
4851
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| Upload Date | June 12 2025 03:52 PM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple A16 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 18.5 |
| Model | iPhone 15 |
| Model ID | iPhone15,4 |
| Motherboard | D37AP |
| CPU Information | |
|---|---|
| Name | Apple A16 Bionic |
| Topology | 1 Processor, 6 Cores |
| Identifier | ARM |
| Base Frequency | 3.46 GHz |
| Cluster 1 | 2 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 5.56 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1438
267.5 IPS |
|
|
Image Classification (HP)
|
100% |
2566
477.2 IPS |
|
|
Image Classification (Q)
|
96% |
1747
326.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
1446
23.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
2120
34.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
2642
42.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
6340
7.40 IPS |
|
|
Pose Estimation (HP)
|
100% |
14001
16.3 IPS |
|
|
Pose Estimation (Q)
|
95% |
11870
13.9 IPS |
|
|
Object Detection (SP)
|
100% |
1507
119.6 IPS |
|
|
Object Detection (HP)
|
97% |
2882
229.5 IPS |
|
|
Object Detection (Q)
|
94% |
2043
162.8 IPS |
|
|
Face Detection (SP)
|
100% |
2967
35.3 IPS |
|
|
Face Detection (HP)
|
100% |
5929
70.4 IPS |
|
|
Face Detection (Q)
|
100% |
3315
39.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
5689
43.8 IPS |
|
|
Depth Estimation (HP)
|
98% |
11479
88.7 IPS |
|
|
Depth Estimation (Q)
|
85% |
7708
60.3 IPS |
|
|
Style Transfer (SP)
|
100% |
16790
21.6 IPS |
|
|
Style Transfer (HP)
|
100% |
27472
35.3 IPS |
|
|
Style Transfer (Q)
|
96% |
22581
29.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3754
138.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
5158
190.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3819
141.0 IPS |
|
|
Text Classification (SP)
|
100% |
2672
3.57 KIPS |
|
|
Text Classification (HP)
|
100% |
4842
6.46 KIPS |
|
|
Text Classification (Q)
|
93% |
4762
6.39 KIPS |
|
|
Machine Translation (SP)
|
100% |
3483
60.0 IPS |
|
|
Machine Translation (HP)
|
98% |
6438
111.2 IPS |
|
|
Machine Translation (Q)
|
98% |
6155
106.4 IPS |
