iPhone 15
Geekbench AI Score
2020
Single Precision Score
10920
Half Precision Score
4306
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | October 11 2025 03:44 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple A16 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 17.7.1 |
| 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 | 5.53 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1234
229.6 IPS |
|
|
Image Classification (HP)
|
100% |
5750
1.07 KIPS |
|
|
Image Classification (Q)
|
97% |
6399
1.19 KIPS |
|
|
Image Segmentation (SP)
|
100% |
665
10.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
5116
82.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
513
8.32 IPS |
|
|
Pose Estimation (SP)
|
100% |
5023
5.86 IPS |
|
|
Pose Estimation (HP)
|
100% |
11317
13.2 IPS |
|
|
Pose Estimation (Q)
|
95% |
5719
6.70 IPS |
|
|
Object Detection (SP)
|
100% |
1032
81.8 IPS |
|
|
Object Detection (HP)
|
100% |
7055
559.6 IPS |
|
|
Object Detection (Q)
|
93% |
8245
657.9 IPS |
|
|
Face Detection (SP)
|
100% |
1726
20.5 IPS |
|
|
Face Detection (HP)
|
100% |
11110
132.0 IPS |
|
|
Face Detection (Q)
|
100% |
524
6.22 IPS |
|
|
Depth Estimation (SP)
|
100% |
3529
27.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
41270
318.0 IPS |
|
|
Depth Estimation (Q)
|
86% |
1285
10.0 IPS |
|
|
Style Transfer (SP)
|
100% |
9292
11.9 IPS |
|
|
Style Transfer (HP)
|
100% |
123262
158.5 IPS |
|
|
Style Transfer (Q)
|
96% |
118806
153.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2622
96.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
17015
628.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
20003
738.6 IPS |
|
|
Text Classification (SP)
|
100% |
1221
1.63 KIPS |
|
|
Text Classification (HP)
|
100% |
5385
7.19 KIPS |
|
|
Text Classification (Q)
|
93% |
4469
6.00 KIPS |
|
|
Machine Translation (SP)
|
100% |
1468
25.3 IPS |
|
|
Machine Translation (HP)
|
100% |
1984
34.2 IPS |
|
|
Machine Translation (Q)
|
98% |
1981
34.2 IPS |
