iPhone18,3
Geekbench AI Score
4512
Single Precision Score
7623
Half Precision Score
6028
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| User | acuesta |
| Upload Date | October 18 2025 10:22 AM |
| Views | 12 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | ARM |
| System Information | |
|---|---|
| Operating System | iOS 26.0.1 |
| 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% |
2131
396.2 IPS |
|
|
Image Classification (HP)
|
100% |
3487
648.6 IPS |
|
|
Image Classification (Q)
|
96% |
2370
442.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
1889
30.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
2891
46.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
3262
52.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
8667
10.1 IPS |
|
|
Pose Estimation (HP)
|
100% |
17413
20.3 IPS |
|
|
Pose Estimation (Q)
|
95% |
14457
16.9 IPS |
|
|
Object Detection (SP)
|
100% |
2372
188.1 IPS |
|
|
Object Detection (HP)
|
97% |
3919
312.0 IPS |
|
|
Object Detection (Q)
|
94% |
2570
204.8 IPS |
|
|
Face Detection (SP)
|
100% |
3551
42.2 IPS |
|
|
Face Detection (HP)
|
100% |
6890
81.9 IPS |
|
|
Face Detection (Q)
|
100% |
3770
44.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
7936
61.1 IPS |
|
|
Depth Estimation (HP)
|
97% |
13318
102.9 IPS |
|
|
Depth Estimation (Q)
|
86% |
9316
72.7 IPS |
|
|
Style Transfer (SP)
|
100% |
20989
27.0 IPS |
|
|
Style Transfer (HP)
|
100% |
35540
45.7 IPS |
|
|
Style Transfer (Q)
|
96% |
29772
38.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5123
189.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6769
249.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4841
178.8 IPS |
|
|
Text Classification (SP)
|
100% |
3526
4.71 KIPS |
|
|
Text Classification (HP)
|
99% |
6467
8.63 KIPS |
|
|
Text Classification (Q)
|
93% |
6451
8.66 KIPS |
|
|
Machine Translation (SP)
|
100% |
3955
68.1 IPS |
|
|
Machine Translation (HP)
|
98% |
6748
116.6 IPS |
|
|
Machine Translation (Q)
|
98% |
6755
116.7 IPS |
