iPhone 16
Geekbench AI Score
4416
Single Precision Score
34010
Half Precision Score
45263
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | November 28 2025 12:58 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% |
1989
369.8 IPS |
|
|
Image Classification (HP)
|
100% |
14903
2.77 KIPS |
|
|
Image Classification (Q)
|
97% |
17872
3.34 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1734
28.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
18048
292.6 IPS |
|
|
Image Segmentation (Q)
|
99% |
23525
381.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
8500
9.92 IPS |
|
|
Pose Estimation (HP)
|
100% |
153198
178.8 IPS |
|
|
Pose Estimation (Q)
|
95% |
294423
345.1 IPS |
|
|
Object Detection (SP)
|
100% |
2306
182.9 IPS |
|
|
Object Detection (HP)
|
100% |
15833
1.26 KIPS |
|
|
Object Detection (Q)
|
91% |
21725
1.74 KIPS |
|
|
Face Detection (SP)
|
100% |
3486
41.4 IPS |
|
|
Face Detection (HP)
|
100% |
40941
486.5 IPS |
|
|
Face Detection (Q)
|
100% |
52893
628.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
8008
61.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
94420
727.4 IPS |
|
|
Depth Estimation (Q)
|
85% |
158627
1.24 KIPS |
|
|
Style Transfer (SP)
|
100% |
20055
25.8 IPS |
|
|
Style Transfer (HP)
|
100% |
244222
314.0 IPS |
|
|
Style Transfer (Q)
|
96% |
296137
382.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5297
195.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
54237
2.00 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
81846
3.02 KIPS |
|
|
Text Classification (SP)
|
100% |
3725
4.97 KIPS |
|
|
Text Classification (HP)
|
99% |
6316
8.43 KIPS |
|
|
Text Classification (Q)
|
93% |
6318
8.48 KIPS |
|
|
Machine Translation (SP)
|
100% |
3780
65.1 IPS |
|
|
Machine Translation (HP)
|
100% |
9815
169.1 IPS |
|
|
Machine Translation (Q)
|
98% |
10447
180.5 IPS |
