iPhone18,3
Geekbench AI Score
4681
Single Precision Score
7898
Half Precision Score
6355
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | November 20 2025 04:32 PM |
| Views | 1 |
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% |
2170
403.6 IPS |
|
|
Image Classification (HP)
|
100% |
3549
660.0 IPS |
|
|
Image Classification (Q)
|
96% |
2394
447.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
1863
30.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
2950
47.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
3363
54.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
10048
11.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
19464
22.7 IPS |
|
|
Pose Estimation (Q)
|
95% |
16333
19.1 IPS |
|
|
Object Detection (SP)
|
100% |
2494
197.9 IPS |
|
|
Object Detection (HP)
|
97% |
4046
322.1 IPS |
|
|
Object Detection (Q)
|
94% |
2846
226.8 IPS |
|
|
Face Detection (SP)
|
100% |
3743
44.5 IPS |
|
|
Face Detection (HP)
|
100% |
7442
88.4 IPS |
|
|
Face Detection (Q)
|
100% |
4260
50.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
8195
63.1 IPS |
|
|
Depth Estimation (HP)
|
97% |
14101
109.0 IPS |
|
|
Depth Estimation (Q)
|
86% |
10055
78.5 IPS |
|
|
Style Transfer (SP)
|
100% |
22225
28.6 IPS |
|
|
Style Transfer (HP)
|
100% |
38478
49.5 IPS |
|
|
Style Transfer (Q)
|
96% |
31791
41.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5340
197.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6897
254.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4943
182.5 IPS |
|
|
Text Classification (SP)
|
100% |
3282
4.38 KIPS |
|
|
Text Classification (HP)
|
99% |
6063
8.09 KIPS |
|
|
Text Classification (Q)
|
93% |
6324
8.49 KIPS |
|
|
Machine Translation (SP)
|
100% |
4179
72.0 IPS |
|
|
Machine Translation (HP)
|
98% |
6792
117.4 IPS |
|
|
Machine Translation (Q)
|
98% |
6750
116.7 IPS |
