iPhone18,3
Geekbench AI Score
4655
Single Precision Score
7791
Half Precision Score
6235
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | December 14 2025 09:36 AM |
| Views | 6 |
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 | 4.25 GHz |
| Cluster 1 | 2 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 7.49 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2192
407.7 IPS |
|
|
Image Classification (HP)
|
100% |
3524
655.4 IPS |
|
|
Image Classification (Q)
|
96% |
2387
445.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
1854
30.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
2885
46.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
3335
54.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
8596
10.0 IPS |
|
|
Pose Estimation (HP)
|
100% |
18303
21.4 IPS |
|
|
Pose Estimation (Q)
|
95% |
15767
18.5 IPS |
|
|
Object Detection (SP)
|
100% |
2498
198.2 IPS |
|
|
Object Detection (HP)
|
97% |
4039
321.5 IPS |
|
|
Object Detection (Q)
|
94% |
2760
220.0 IPS |
|
|
Face Detection (SP)
|
100% |
3683
43.8 IPS |
|
|
Face Detection (HP)
|
100% |
7324
87.0 IPS |
|
|
Face Detection (Q)
|
100% |
4048
48.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
8220
63.3 IPS |
|
|
Depth Estimation (HP)
|
97% |
13772
106.5 IPS |
|
|
Depth Estimation (Q)
|
86% |
9737
76.0 IPS |
|
|
Style Transfer (SP)
|
100% |
22010
28.3 IPS |
|
|
Style Transfer (HP)
|
100% |
37959
48.8 IPS |
|
|
Style Transfer (Q)
|
96% |
31200
40.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5355
197.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6872
253.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4916
181.5 IPS |
|
|
Text Classification (SP)
|
100% |
3618
4.83 KIPS |
|
|
Text Classification (HP)
|
99% |
6140
8.20 KIPS |
|
|
Text Classification (Q)
|
93% |
6138
8.24 KIPS |
|
|
Machine Translation (SP)
|
100% |
4247
73.2 IPS |
|
|
Machine Translation (HP)
|
98% |
6790
117.3 IPS |
|
|
Machine Translation (Q)
|
98% |
6910
119.4 IPS |
