iPhone 16
Geekbench AI Score
4285
Single Precision Score
7344
Half Precision Score
5884
Quantized Score
Geekbench AI 1.4.0 for iOS AArch64
Result Information
| User | sampo81 |
| Upload Date | July 07 2025 04:13 PM |
| Views | 13 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple A18 |
| System Information | |
|---|---|
| Operating System | iOS 18.5 |
| 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% |
2000
371.8 IPS |
|
|
Image Classification (HP)
|
100% |
3202
595.4 IPS |
|
|
Image Classification (Q)
|
96% |
2193
409.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
1793
29.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
2798
45.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
3205
52.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
8383
9.78 IPS |
|
|
Pose Estimation (HP)
|
100% |
17218
20.1 IPS |
|
|
Pose Estimation (Q)
|
95% |
14544
17.0 IPS |
|
|
Object Detection (SP)
|
100% |
2229
176.8 IPS |
|
|
Object Detection (HP)
|
97% |
3668
292.0 IPS |
|
|
Object Detection (Q)
|
94% |
2558
203.9 IPS |
|
|
Face Detection (SP)
|
100% |
3363
40.0 IPS |
|
|
Face Detection (HP)
|
100% |
6721
79.9 IPS |
|
|
Face Detection (Q)
|
100% |
3882
46.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
7694
59.3 IPS |
|
|
Depth Estimation (HP)
|
97% |
13602
105.1 IPS |
|
|
Depth Estimation (Q)
|
86% |
9415
73.5 IPS |
|
|
Style Transfer (SP)
|
100% |
18256
23.5 IPS |
|
|
Style Transfer (HP)
|
100% |
36164
46.5 IPS |
|
|
Style Transfer (Q)
|
96% |
29693
38.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5060
186.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
7126
263.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5043
186.2 IPS |
|
|
Text Classification (SP)
|
100% |
3441
4.59 KIPS |
|
|
Text Classification (HP)
|
100% |
5937
7.93 KIPS |
|
|
Text Classification (Q)
|
93% |
5938
7.97 KIPS |
|
|
Machine Translation (SP)
|
100% |
3790
65.3 IPS |
|
|
Machine Translation (HP)
|
98% |
5769
99.7 IPS |
|
|
Machine Translation (Q)
|
98% |
5860
101.3 IPS |
