iPhone 16
Geekbench AI Score
4237
Single Precision Score
32530
Half Precision Score
45231
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| Upload Date | May 09 2025 07:23 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple A18 |
| System Information | |
|---|---|
| Operating System | iOS 18.4.1 |
| 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 | 7.51 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2001
372.0 IPS |
|
|
Image Classification (HP)
|
100% |
15203
2.83 KIPS |
|
|
Image Classification (Q)
|
97% |
20667
3.86 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1775
28.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
18170
294.6 IPS |
|
|
Image Segmentation (Q)
|
99% |
23779
385.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
8124
9.48 IPS |
|
|
Pose Estimation (HP)
|
100% |
147443
172.0 IPS |
|
|
Pose Estimation (Q)
|
95% |
292396
342.7 IPS |
|
|
Object Detection (SP)
|
100% |
2233
177.1 IPS |
|
|
Object Detection (HP)
|
100% |
16224
1.29 KIPS |
|
|
Object Detection (Q)
|
91% |
22633
1.81 KIPS |
|
|
Face Detection (SP)
|
100% |
3442
40.9 IPS |
|
|
Face Detection (HP)
|
100% |
39473
469.0 IPS |
|
|
Face Detection (Q)
|
100% |
56354
669.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
7717
59.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
95295
734.2 IPS |
|
|
Depth Estimation (Q)
|
85% |
159356
1.25 KIPS |
|
|
Style Transfer (SP)
|
100% |
17344
22.3 IPS |
|
|
Style Transfer (HP)
|
100% |
244346
314.1 IPS |
|
|
Style Transfer (Q)
|
96% |
304090
392.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4723
174.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
50053
1.85 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
83044
3.07 KIPS |
|
|
Text Classification (SP)
|
100% |
3377
4.51 KIPS |
|
|
Text Classification (HP)
|
100% |
4385
5.85 KIPS |
|
|
Text Classification (Q)
|
93% |
4448
5.97 KIPS |
|
|
Machine Translation (SP)
|
100% |
3944
67.9 IPS |
|
|
Machine Translation (HP)
|
100% |
9956
171.5 IPS |
|
|
Machine Translation (Q)
|
98% |
10926
188.8 IPS |
