iPhone 16
Geekbench AI Score
4490
Single Precision Score
33770
Half Precision Score
44909
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | October 23 2025 02:11 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple A18 |
| System Information | |
|---|---|
| Operating System | iOS 26.1 |
| Model | iPhone 16 |
| Model ID | iPhone17,3 |
| Motherboard | D47AP |
| CPU Information | |
|---|---|
| Name | Apple A18 |
| Topology | 1 Processor, 6 Cores |
| Identifier | ARM |
| Base Frequency | 4.04 GHz |
| Cluster 1 | 2 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 7.50 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2045
380.4 IPS |
|
|
Image Classification (HP)
|
100% |
14609
2.72 KIPS |
|
|
Image Classification (Q)
|
97% |
17810
3.32 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1785
28.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
18160
294.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
23747
385.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
9064
10.6 IPS |
|
|
Pose Estimation (HP)
|
100% |
153465
179.1 IPS |
|
|
Pose Estimation (Q)
|
95% |
294864
345.6 IPS |
|
|
Object Detection (SP)
|
100% |
2333
185.0 IPS |
|
|
Object Detection (HP)
|
100% |
15651
1.24 KIPS |
|
|
Object Detection (Q)
|
91% |
21876
1.75 KIPS |
|
|
Face Detection (SP)
|
100% |
3536
42.0 IPS |
|
|
Face Detection (HP)
|
100% |
41127
488.7 IPS |
|
|
Face Detection (Q)
|
100% |
51965
617.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
8053
62.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
95061
732.4 IPS |
|
|
Depth Estimation (Q)
|
85% |
148654
1.16 KIPS |
|
|
Style Transfer (SP)
|
100% |
21377
27.5 IPS |
|
|
Style Transfer (HP)
|
100% |
244617
314.5 IPS |
|
|
Style Transfer (Q)
|
96% |
294000
379.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5396
199.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
52729
1.95 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
80249
2.96 KIPS |
|
|
Text Classification (SP)
|
100% |
3700
4.94 KIPS |
|
|
Text Classification (HP)
|
99% |
6332
8.45 KIPS |
|
|
Text Classification (Q)
|
93% |
6294
8.45 KIPS |
|
|
Machine Translation (SP)
|
100% |
3553
61.2 IPS |
|
|
Machine Translation (HP)
|
100% |
9482
163.3 IPS |
|
|
Machine Translation (Q)
|
98% |
10663
184.3 IPS |
