iPhone 16
Geekbench AI Score
4503
Single Precision Score
4802
Half Precision Score
4783
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| User | Paddie37 |
| Upload Date | June 17 2025 01:43 PM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple A18 |
| System Information | |
|---|---|
| Operating System | iOS 19.0 |
| 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% |
865
160.9 IPS |
|
|
Image Classification (HP)
|
100% |
847
157.6 IPS |
|
|
Image Classification (Q)
|
96% |
989
184.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
3809
61.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
3938
63.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
3812
61.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
13057
15.2 IPS |
|
|
Pose Estimation (HP)
|
100% |
14480
16.9 IPS |
|
|
Pose Estimation (Q)
|
96% |
14160
16.6 IPS |
|
|
Object Detection (SP)
|
100% |
2147
170.3 IPS |
|
|
Object Detection (HP)
|
100% |
1540
122.1 IPS |
|
|
Object Detection (Q)
|
92% |
1518
121.2 IPS |
|
|
Face Detection (SP)
|
100% |
7224
85.8 IPS |
|
|
Face Detection (HP)
|
100% |
9038
107.4 IPS |
|
|
Face Detection (Q)
|
100% |
7360
87.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
11179
86.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
12254
94.4 IPS |
|
|
Depth Estimation (Q)
|
86% |
11353
88.7 IPS |
|
|
Style Transfer (SP)
|
100% |
29170
37.5 IPS |
|
|
Style Transfer (HP)
|
100% |
32264
41.5 IPS |
|
|
Style Transfer (Q)
|
96% |
31859
41.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4461
164.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
3589
132.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4356
160.8 IPS |
|
|
Text Classification (SP)
|
100% |
3382
4.51 KIPS |
|
|
Text Classification (HP)
|
100% |
5950
7.94 KIPS |
|
|
Text Classification (Q)
|
93% |
5790
7.77 KIPS |
|
|
Machine Translation (SP)
|
100% |
1045
18.0 IPS |
|
|
Machine Translation (HP)
|
100% |
1150
19.8 IPS |
|
|
Machine Translation (Q)
|
98% |
1154
19.9 IPS |
