iPhone18,3
Geekbench AI Score
7999
Single Precision Score
15648
Half Precision Score
15598
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | December 22 2025 06:37 PM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | ARM |
| System Information | |
|---|---|
| Operating System | iOS 26.2 |
| 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% |
3696
687.3 IPS |
|
|
Image Classification (HP)
|
100% |
7233
1.35 KIPS |
|
|
Image Classification (Q)
|
97% |
6560
1.22 KIPS |
|
|
Image Segmentation (SP)
|
100% |
5038
81.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
8771
142.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
9071
147.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
18358
21.4 IPS |
|
|
Pose Estimation (HP)
|
100% |
50273
58.7 IPS |
|
|
Pose Estimation (Q)
|
95% |
57932
67.9 IPS |
|
|
Object Detection (SP)
|
100% |
3937
312.3 IPS |
|
|
Object Detection (HP)
|
100% |
7451
591.0 IPS |
|
|
Object Detection (Q)
|
93% |
6817
543.9 IPS |
|
|
Face Detection (SP)
|
100% |
9440
112.2 IPS |
|
|
Face Detection (HP)
|
100% |
18925
224.9 IPS |
|
|
Face Detection (Q)
|
100% |
14649
174.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
15812
121.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
34042
262.3 IPS |
|
|
Depth Estimation (Q)
|
86% |
35396
276.4 IPS |
|
|
Style Transfer (SP)
|
100% |
38847
49.9 IPS |
|
|
Style Transfer (HP)
|
100% |
90478
116.3 IPS |
|
|
Style Transfer (Q)
|
96% |
106022
136.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
9230
340.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
18299
675.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
19294
712.4 IPS |
|
|
Text Classification (SP)
|
100% |
3271
4.37 KIPS |
|
|
Text Classification (HP)
|
99% |
6195
8.27 KIPS |
|
|
Text Classification (Q)
|
93% |
6210
8.33 KIPS |
|
|
Machine Translation (SP)
|
100% |
4557
78.5 IPS |
|
|
Machine Translation (HP)
|
100% |
5607
96.6 IPS |
|
|
Machine Translation (Q)
|
98% |
5508
95.2 IPS |
