iPhone 16
Geekbench AI Score
1929
Single Precision Score
3197
Half Precision Score
2504
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| User | Wa_Alhazmi |
| Upload Date | December 16 2025 03:33 PM |
| Views | 11 |
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% |
842
156.6 IPS |
|
|
Image Classification (HP)
|
100% |
1322
245.9 IPS |
|
|
Image Classification (Q)
|
96% |
865
161.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
761
12.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
1274
20.7 IPS |
|
|
Image Segmentation (Q)
|
99% |
1362
22.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
3976
4.64 IPS |
|
|
Pose Estimation (HP)
|
100% |
8154
9.51 IPS |
|
|
Pose Estimation (Q)
|
95% |
6947
8.14 IPS |
|
|
Object Detection (SP)
|
100% |
1034
82.0 IPS |
|
|
Object Detection (HP)
|
97% |
1616
128.6 IPS |
|
|
Object Detection (Q)
|
94% |
1118
89.1 IPS |
|
|
Face Detection (SP)
|
100% |
1567
18.6 IPS |
|
|
Face Detection (HP)
|
100% |
3007
35.7 IPS |
|
|
Face Detection (Q)
|
100% |
1651
19.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
3629
28.0 IPS |
|
|
Depth Estimation (HP)
|
97% |
6159
47.6 IPS |
|
|
Depth Estimation (Q)
|
86% |
4241
33.1 IPS |
|
|
Style Transfer (SP)
|
100% |
8897
11.4 IPS |
|
|
Style Transfer (HP)
|
100% |
16069
20.7 IPS |
|
|
Style Transfer (Q)
|
96% |
13044
16.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2598
95.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
3042
112.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
2125
78.5 IPS |
|
|
Text Classification (SP)
|
100% |
1386
1.85 KIPS |
|
|
Text Classification (HP)
|
100% |
2426
3.24 KIPS |
|
|
Text Classification (Q)
|
93% |
2427
3.26 KIPS |
|
|
Machine Translation (SP)
|
100% |
1492
25.7 IPS |
|
|
Machine Translation (HP)
|
98% |
2293
39.6 IPS |
|
|
Machine Translation (Q)
|
98% |
2249
38.9 IPS |
