iPhone 16
Geekbench AI Score
4304
Single Precision Score
33623
Half Precision Score
44852
Quantized Score
Geekbench AI 1.4.0 for iOS AArch64
Result Information
| Upload Date | August 31 2025 11:09 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple A18 |
| System Information | |
|---|---|
| Operating System | iOS 26.0 |
| 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% |
1998
371.6 IPS |
|
|
Image Classification (HP)
|
100% |
15070
2.80 KIPS |
|
|
Image Classification (Q)
|
97% |
18400
3.43 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1713
27.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
17984
291.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
23670
383.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
8020
9.36 IPS |
|
|
Pose Estimation (HP)
|
100% |
147132
171.7 IPS |
|
|
Pose Estimation (Q)
|
95% |
294938
345.7 IPS |
|
|
Object Detection (SP)
|
100% |
2242
177.8 IPS |
|
|
Object Detection (HP)
|
100% |
15552
1.23 KIPS |
|
|
Object Detection (Q)
|
91% |
21298
1.70 KIPS |
|
|
Face Detection (SP)
|
100% |
3441
40.9 IPS |
|
|
Face Detection (HP)
|
100% |
40188
477.5 IPS |
|
|
Face Detection (Q)
|
100% |
49696
590.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
7660
59.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
94459
727.8 IPS |
|
|
Depth Estimation (Q)
|
85% |
151595
1.19 KIPS |
|
|
Style Transfer (SP)
|
100% |
19180
24.7 IPS |
|
|
Style Transfer (HP)
|
100% |
243361
312.8 IPS |
|
|
Style Transfer (Q)
|
96% |
293766
379.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4919
181.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
52488
1.94 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
80249
2.96 KIPS |
|
|
Text Classification (SP)
|
100% |
3709
4.95 KIPS |
|
|
Text Classification (HP)
|
99% |
6292
8.40 KIPS |
|
|
Text Classification (Q)
|
93% |
6236
8.37 KIPS |
|
|
Machine Translation (SP)
|
100% |
3843
66.2 IPS |
|
|
Machine Translation (HP)
|
100% |
9762
168.1 IPS |
|
|
Machine Translation (Q)
|
98% |
10875
187.9 IPS |
