iPhone 16
Geekbench AI Score
4204
Single Precision Score
33210
Half Precision Score
44968
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | December 08 2025 05:53 AM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple A18 |
| System Information | |
|---|---|
| Operating System | iOS 26.2 |
| 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% |
2022
376.0 IPS |
|
|
Image Classification (HP)
|
100% |
14739
2.74 KIPS |
|
|
Image Classification (Q)
|
97% |
19530
3.64 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1688
27.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
17829
289.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
23582
382.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
7382
8.61 IPS |
|
|
Pose Estimation (HP)
|
100% |
133970
156.3 IPS |
|
|
Pose Estimation (Q)
|
95% |
275720
323.2 IPS |
|
|
Object Detection (SP)
|
100% |
2188
173.6 IPS |
|
|
Object Detection (HP)
|
100% |
15734
1.25 KIPS |
|
|
Object Detection (Q)
|
91% |
22239
1.78 KIPS |
|
|
Face Detection (SP)
|
100% |
3327
39.5 IPS |
|
|
Face Detection (HP)
|
100% |
40529
481.6 IPS |
|
|
Face Detection (Q)
|
100% |
51077
606.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
7277
56.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
94518
728.2 IPS |
|
|
Depth Estimation (Q)
|
85% |
148337
1.16 KIPS |
|
|
Style Transfer (SP)
|
100% |
18679
24.0 IPS |
|
|
Style Transfer (HP)
|
100% |
244033
313.7 IPS |
|
|
Style Transfer (Q)
|
96% |
297221
383.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4794
177.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
51710
1.91 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
80544
2.97 KIPS |
|
|
Text Classification (SP)
|
100% |
3680
4.91 KIPS |
|
|
Text Classification (HP)
|
99% |
6215
8.30 KIPS |
|
|
Text Classification (Q)
|
93% |
6188
8.30 KIPS |
|
|
Machine Translation (SP)
|
100% |
3924
67.6 IPS |
|
|
Machine Translation (HP)
|
100% |
9809
169.0 IPS |
|
|
Machine Translation (Q)
|
98% |
10669
184.4 IPS |
