iPhone18,3
Geekbench AI Score
8086
Single Precision Score
15817
Half Precision Score
15692
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | December 14 2025 04:20 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | ARM |
| System Information | |
|---|---|
| Operating System | iOS 26.1 |
| 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% |
3673
683.1 IPS |
|
|
Image Classification (HP)
|
100% |
7335
1.36 KIPS |
|
|
Image Classification (Q)
|
97% |
6505
1.21 KIPS |
|
|
Image Segmentation (SP)
|
100% |
5055
81.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
8788
142.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
9072
147.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
18435
21.5 IPS |
|
|
Pose Estimation (HP)
|
100% |
49809
58.1 IPS |
|
|
Pose Estimation (Q)
|
95% |
57931
67.9 IPS |
|
|
Object Detection (SP)
|
100% |
3935
312.1 IPS |
|
|
Object Detection (HP)
|
100% |
7468
592.3 IPS |
|
|
Object Detection (Q)
|
93% |
6854
546.8 IPS |
|
|
Face Detection (SP)
|
100% |
9472
112.6 IPS |
|
|
Face Detection (HP)
|
100% |
19397
230.5 IPS |
|
|
Face Detection (Q)
|
100% |
14837
176.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
15843
122.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
33830
260.6 IPS |
|
|
Depth Estimation (Q)
|
86% |
35483
277.0 IPS |
|
|
Style Transfer (SP)
|
100% |
38904
50.0 IPS |
|
|
Style Transfer (HP)
|
100% |
90502
116.3 IPS |
|
|
Style Transfer (Q)
|
96% |
106211
137.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
9317
344.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
18359
677.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
19566
722.5 IPS |
|
|
Text Classification (SP)
|
100% |
3571
4.77 KIPS |
|
|
Text Classification (HP)
|
99% |
6791
9.06 KIPS |
|
|
Text Classification (Q)
|
93% |
6506
8.73 KIPS |
|
|
Machine Translation (SP)
|
100% |
4568
78.7 IPS |
|
|
Machine Translation (HP)
|
100% |
5522
95.1 IPS |
|
|
Machine Translation (Q)
|
98% |
5430
93.8 IPS |
