iPhone 15
Geekbench AI Score
3598
Single Precision Score
21875
Half Precision Score
25132
Quantized Score
Geekbench AI 1.4.0 for iOS AArch64
Result Information
| Upload Date | September 03 2025 11:11 PM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple A16 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 26.0 |
| 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 | 5.55 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1432
266.3 IPS |
|
|
Image Classification (HP)
|
100% |
9004
1.67 KIPS |
|
|
Image Classification (Q)
|
97% |
11541
2.15 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1477
23.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
14245
230.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
19224
311.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
6781
7.91 IPS |
|
|
Pose Estimation (HP)
|
100% |
97018
113.2 IPS |
|
|
Pose Estimation (Q)
|
95% |
101874
119.4 IPS |
|
|
Object Detection (SP)
|
100% |
1598
126.8 IPS |
|
|
Object Detection (HP)
|
100% |
12088
958.8 IPS |
|
|
Object Detection (Q)
|
91% |
13591
1.09 KIPS |
|
|
Face Detection (SP)
|
100% |
3330
39.6 IPS |
|
|
Face Detection (HP)
|
100% |
31105
369.6 IPS |
|
|
Face Detection (Q)
|
100% |
39938
474.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
6150
47.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
71415
550.2 IPS |
|
|
Depth Estimation (Q)
|
85% |
89514
699.9 IPS |
|
|
Style Transfer (SP)
|
100% |
18499
23.8 IPS |
|
|
Style Transfer (HP)
|
100% |
169793
218.3 IPS |
|
|
Style Transfer (Q)
|
96% |
170142
219.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4017
148.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
33003
1.22 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
36084
1.33 KIPS |
|
|
Text Classification (SP)
|
100% |
2812
3.75 KIPS |
|
|
Text Classification (HP)
|
100% |
1841
2.46 KIPS |
|
|
Text Classification (Q)
|
93% |
1788
2.40 KIPS |
|
|
Machine Translation (SP)
|
100% |
3711
63.9 IPS |
|
|
Machine Translation (HP)
|
100% |
7279
125.4 IPS |
|
|
Machine Translation (Q)
|
98% |
8339
144.1 IPS |
