iPhone18,3
Geekbench AI Score
4594
Single Precision Score
7755
Half Precision Score
6120
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| User | buggshash |
| Upload Date | December 18 2025 10:41 PM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | ARM |
| System Information | |
|---|---|
| Operating System | iOS 26.2 |
| Model | iPhone18,3 |
| Model ID | iPhone18,3 |
| Motherboard | V57AP |
| CPU Information | |
|---|---|
| Name | ARM |
| Topology | 1 Processor, 6 Cores |
| Identifier | ARM |
| Base Frequency | 4.26 GHz |
| Cluster 1 | 2 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 7.49 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2166
402.9 IPS |
|
|
Image Classification (HP)
|
100% |
3523
655.1 IPS |
|
|
Image Classification (Q)
|
96% |
2362
441.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
1811
29.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
2929
47.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
3292
53.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
8906
10.4 IPS |
|
|
Pose Estimation (HP)
|
100% |
17793
20.8 IPS |
|
|
Pose Estimation (Q)
|
95% |
14340
16.8 IPS |
|
|
Object Detection (SP)
|
100% |
2387
189.4 IPS |
|
|
Object Detection (HP)
|
97% |
3821
304.2 IPS |
|
|
Object Detection (Q)
|
94% |
2583
205.9 IPS |
|
|
Face Detection (SP)
|
100% |
3487
41.4 IPS |
|
|
Face Detection (HP)
|
100% |
6977
82.9 IPS |
|
|
Face Detection (Q)
|
100% |
3813
45.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
8118
62.5 IPS |
|
|
Depth Estimation (HP)
|
97% |
13504
104.4 IPS |
|
|
Depth Estimation (Q)
|
86% |
9395
73.3 IPS |
|
|
Style Transfer (SP)
|
100% |
21181
27.2 IPS |
|
|
Style Transfer (HP)
|
100% |
37191
47.8 IPS |
|
|
Style Transfer (Q)
|
96% |
30635
39.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5217
192.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6759
249.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4902
181.0 IPS |
|
|
Text Classification (SP)
|
100% |
3680
4.91 KIPS |
|
|
Text Classification (HP)
|
99% |
6938
9.26 KIPS |
|
|
Text Classification (Q)
|
93% |
6964
9.35 KIPS |
|
|
Machine Translation (SP)
|
100% |
4366
75.2 IPS |
|
|
Machine Translation (HP)
|
98% |
6826
117.9 IPS |
|
|
Machine Translation (Q)
|
98% |
6840
118.2 IPS |
