iPhone18,3
Geekbench AI Score
4523
Single Precision Score
7621
Half Precision Score
6073
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | September 22 2025 12:57 PM |
| Views | 1 |
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 | 4.26 GHz |
| Cluster 1 | 2 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 7.49 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2147
399.3 IPS |
|
|
Image Classification (HP)
|
100% |
3471
645.5 IPS |
|
|
Image Classification (Q)
|
96% |
2356
440.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
1815
29.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
2906
47.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
3280
53.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
9277
10.8 IPS |
|
|
Pose Estimation (HP)
|
100% |
17878
20.9 IPS |
|
|
Pose Estimation (Q)
|
95% |
15195
17.8 IPS |
|
|
Object Detection (SP)
|
100% |
2393
189.8 IPS |
|
|
Object Detection (HP)
|
97% |
3901
310.6 IPS |
|
|
Object Detection (Q)
|
94% |
2606
207.7 IPS |
|
|
Face Detection (SP)
|
100% |
3505
41.6 IPS |
|
|
Face Detection (HP)
|
100% |
6959
82.7 IPS |
|
|
Face Detection (Q)
|
100% |
3778
44.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
8021
61.8 IPS |
|
|
Depth Estimation (HP)
|
97% |
13174
101.8 IPS |
|
|
Depth Estimation (Q)
|
86% |
9452
73.8 IPS |
|
|
Style Transfer (SP)
|
100% |
20675
26.6 IPS |
|
|
Style Transfer (HP)
|
100% |
36457
46.9 IPS |
|
|
Style Transfer (Q)
|
96% |
29872
38.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4985
184.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6611
244.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4797
177.1 IPS |
|
|
Text Classification (SP)
|
100% |
3527
4.71 KIPS |
|
|
Text Classification (HP)
|
99% |
6526
8.71 KIPS |
|
|
Text Classification (Q)
|
93% |
6663
8.94 KIPS |
|
|
Machine Translation (SP)
|
100% |
4058
69.9 IPS |
|
|
Machine Translation (HP)
|
98% |
6522
112.7 IPS |
|
|
Machine Translation (Q)
|
98% |
6549
113.2 IPS |
