iPhone18,3
Geekbench AI Score
4499
Single Precision Score
7576
Half Precision Score
6010
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | September 27 2025 10:19 PM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | ARM |
| System Information | |
|---|---|
| Operating System | iOS 26.0 |
| Model | iPhone18,3 |
| Model ID | iPhone18,3 |
| Motherboard | V57AP |
| CPU Information | |
|---|---|
| Name | ARM |
| Topology | 1 Processor, 6 Cores |
| Identifier | ARM |
| Base Frequency | 4.14 GHz |
| Cluster 1 | 2 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 7.49 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2140
397.9 IPS |
|
|
Image Classification (HP)
|
100% |
3439
639.5 IPS |
|
|
Image Classification (Q)
|
96% |
2340
436.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
1836
29.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
2894
46.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
3253
52.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
8952
10.4 IPS |
|
|
Pose Estimation (HP)
|
100% |
17606
20.5 IPS |
|
|
Pose Estimation (Q)
|
95% |
14911
17.5 IPS |
|
|
Object Detection (SP)
|
100% |
2314
183.6 IPS |
|
|
Object Detection (HP)
|
97% |
3915
311.6 IPS |
|
|
Object Detection (Q)
|
94% |
2559
204.0 IPS |
|
|
Face Detection (SP)
|
100% |
3485
41.4 IPS |
|
|
Face Detection (HP)
|
100% |
6928
82.3 IPS |
|
|
Face Detection (Q)
|
100% |
3832
45.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
7924
61.0 IPS |
|
|
Depth Estimation (HP)
|
97% |
13085
101.1 IPS |
|
|
Depth Estimation (Q)
|
86% |
9200
71.8 IPS |
|
|
Style Transfer (SP)
|
100% |
20984
27.0 IPS |
|
|
Style Transfer (HP)
|
100% |
35671
45.9 IPS |
|
|
Style Transfer (Q)
|
96% |
29679
38.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5026
185.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6559
242.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4822
178.0 IPS |
|
|
Text Classification (SP)
|
100% |
3574
4.77 KIPS |
|
|
Text Classification (HP)
|
99% |
6455
8.62 KIPS |
|
|
Text Classification (Q)
|
93% |
6458
8.67 KIPS |
|
|
Machine Translation (SP)
|
100% |
4014
69.1 IPS |
|
|
Machine Translation (HP)
|
98% |
6639
114.7 IPS |
|
|
Machine Translation (Q)
|
98% |
6500
112.3 IPS |
