iPhone18,3
Geekbench AI Score
3860
Single Precision Score
33760
Half Precision Score
46478
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | October 23 2025 10:45 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| 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 | 4.26 GHz |
| Cluster 1 | 2 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 7.49 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1548
287.8 IPS |
|
|
Image Classification (HP)
|
100% |
15485
2.88 KIPS |
|
|
Image Classification (Q)
|
97% |
22015
4.11 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1283
20.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
18048
292.6 IPS |
|
|
Image Segmentation (Q)
|
99% |
23539
381.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
5218
6.09 IPS |
|
|
Pose Estimation (HP)
|
100% |
103528
120.8 IPS |
|
|
Pose Estimation (Q)
|
95% |
205346
240.7 IPS |
|
|
Object Detection (SP)
|
100% |
1656
131.3 IPS |
|
|
Object Detection (HP)
|
100% |
17284
1.37 KIPS |
|
|
Object Detection (Q)
|
91% |
24459
1.95 KIPS |
|
|
Face Detection (SP)
|
100% |
3495
41.5 IPS |
|
|
Face Detection (HP)
|
100% |
39175
465.5 IPS |
|
|
Face Detection (Q)
|
100% |
49731
590.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
8015
61.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
101911
785.2 IPS |
|
|
Depth Estimation (Q)
|
85% |
169201
1.32 KIPS |
|
|
Style Transfer (SP)
|
100% |
21185
27.2 IPS |
|
|
Style Transfer (HP)
|
100% |
251586
323.4 IPS |
|
|
Style Transfer (Q)
|
96% |
345919
446.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5091
188.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
55788
2.06 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
84253
3.11 KIPS |
|
|
Text Classification (SP)
|
100% |
3479
4.64 KIPS |
|
|
Text Classification (HP)
|
99% |
6303
8.41 KIPS |
|
|
Text Classification (Q)
|
93% |
6292
8.44 KIPS |
|
|
Machine Translation (SP)
|
100% |
4079
70.3 IPS |
|
|
Machine Translation (HP)
|
100% |
10891
187.6 IPS |
|
|
Machine Translation (Q)
|
98% |
11715
202.4 IPS |
