iPhone 16
Geekbench AI Score
4598
Single Precision Score
33741
Half Precision Score
44893
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | March 17 2026 03:46 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple A18 |
| System Information | |
|---|---|
| Operating System | iOS 26.3.1 |
| 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% |
2035
378.4 IPS |
|
|
Image Classification (HP)
|
100% |
14751
2.74 KIPS |
|
|
Image Classification (Q)
|
97% |
19035
3.55 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1789
29.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
18064
292.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
23554
381.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
9286
10.8 IPS |
|
|
Pose Estimation (HP)
|
100% |
153366
179.0 IPS |
|
|
Pose Estimation (Q)
|
95% |
294400
345.1 IPS |
|
|
Object Detection (SP)
|
100% |
2341
185.7 IPS |
|
|
Object Detection (HP)
|
100% |
15541
1.23 KIPS |
|
|
Object Detection (Q)
|
91% |
21174
1.69 KIPS |
|
|
Face Detection (SP)
|
100% |
3592
42.7 IPS |
|
|
Face Detection (HP)
|
100% |
40951
486.6 IPS |
|
|
Face Detection (Q)
|
100% |
50105
595.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
8129
62.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
94821
730.5 IPS |
|
|
Depth Estimation (Q)
|
85% |
151228
1.18 KIPS |
|
|
Style Transfer (SP)
|
100% |
21970
28.2 IPS |
|
|
Style Transfer (HP)
|
100% |
245669
315.8 IPS |
|
|
Style Transfer (Q)
|
96% |
296904
383.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5705
210.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
52930
1.95 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
81903
3.02 KIPS |
|
|
Text Classification (SP)
|
100% |
3702
4.94 KIPS |
|
|
Text Classification (HP)
|
99% |
6124
8.17 KIPS |
|
|
Text Classification (Q)
|
93% |
6080
8.16 KIPS |
|
|
Machine Translation (SP)
|
100% |
3941
67.9 IPS |
|
|
Machine Translation (HP)
|
100% |
9739
167.8 IPS |
|
|
Machine Translation (Q)
|
98% |
10620
183.5 IPS |
