iPhone 16
Geekbench AI Score
4556
Single Precision Score
33908
Half Precision Score
45320
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | November 15 2025 07:55 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% |
2014
374.6 IPS |
|
|
Image Classification (HP)
|
100% |
15095
2.81 KIPS |
|
|
Image Classification (Q)
|
97% |
19632
3.66 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1704
27.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
18073
293.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
23673
383.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
9056
10.6 IPS |
|
|
Pose Estimation (HP)
|
100% |
153525
179.1 IPS |
|
|
Pose Estimation (Q)
|
95% |
294905
345.6 IPS |
|
|
Object Detection (SP)
|
100% |
2327
184.6 IPS |
|
|
Object Detection (HP)
|
100% |
15787
1.25 KIPS |
|
|
Object Detection (Q)
|
91% |
21304
1.70 KIPS |
|
|
Face Detection (SP)
|
100% |
3585
42.6 IPS |
|
|
Face Detection (HP)
|
100% |
41112
488.5 IPS |
|
|
Face Detection (Q)
|
100% |
50991
605.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
8157
62.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
94515
728.2 IPS |
|
|
Depth Estimation (Q)
|
85% |
152699
1.19 KIPS |
|
|
Style Transfer (SP)
|
100% |
21714
27.9 IPS |
|
|
Style Transfer (HP)
|
100% |
244142
313.8 IPS |
|
|
Style Transfer (Q)
|
96% |
295617
381.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5684
209.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
53274
1.97 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
82463
3.04 KIPS |
|
|
Text Classification (SP)
|
100% |
3693
4.93 KIPS |
|
|
Text Classification (HP)
|
99% |
6187
8.26 KIPS |
|
|
Text Classification (Q)
|
93% |
6108
8.20 KIPS |
|
|
Machine Translation (SP)
|
100% |
3998
68.9 IPS |
|
|
Machine Translation (HP)
|
100% |
9720
167.4 IPS |
|
|
Machine Translation (Q)
|
98% |
10798
186.6 IPS |
