iPhone 16
Geekbench AI Score
4380
Single Precision Score
34054
Half Precision Score
46007
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | November 24 2025 08:24 PM |
| Views | 1 |
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% |
2019
375.5 IPS |
|
|
Image Classification (HP)
|
100% |
15086
2.81 KIPS |
|
|
Image Classification (Q)
|
97% |
19966
3.73 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1736
28.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
18113
293.6 IPS |
|
|
Image Segmentation (Q)
|
99% |
23573
382.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
8431
9.84 IPS |
|
|
Pose Estimation (HP)
|
100% |
148209
172.9 IPS |
|
|
Pose Estimation (Q)
|
95% |
292898
343.3 IPS |
|
|
Object Detection (SP)
|
100% |
2306
182.9 IPS |
|
|
Object Detection (HP)
|
100% |
15974
1.27 KIPS |
|
|
Object Detection (Q)
|
91% |
21756
1.74 KIPS |
|
|
Face Detection (SP)
|
100% |
3424
40.7 IPS |
|
|
Face Detection (HP)
|
100% |
41136
488.8 IPS |
|
|
Face Detection (Q)
|
100% |
52972
629.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
7628
58.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
96281
741.8 IPS |
|
|
Depth Estimation (Q)
|
85% |
156060
1.22 KIPS |
|
|
Style Transfer (SP)
|
100% |
19360
24.9 IPS |
|
|
Style Transfer (HP)
|
100% |
245956
316.2 IPS |
|
|
Style Transfer (Q)
|
96% |
300144
387.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5185
191.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
53824
1.99 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
82953
3.06 KIPS |
|
|
Text Classification (SP)
|
100% |
3793
5.06 KIPS |
|
|
Text Classification (HP)
|
99% |
6524
8.71 KIPS |
|
|
Text Classification (Q)
|
93% |
6460
8.67 KIPS |
|
|
Machine Translation (SP)
|
100% |
3835
66.1 IPS |
|
|
Machine Translation (HP)
|
100% |
9479
163.3 IPS |
|
|
Machine Translation (Q)
|
98% |
10655
184.1 IPS |
