iPhone18,3
Geekbench AI Score
4488
Single Precision Score
7463
Half Precision Score
5943
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | October 29 2025 04:46 AM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| 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 | 4.11 GHz |
| Cluster 1 | 2 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 7.49 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2123
394.7 IPS |
|
|
Image Classification (HP)
|
100% |
3405
633.3 IPS |
|
|
Image Classification (Q)
|
96% |
2313
431.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
1845
29.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
2824
45.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
3227
52.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
9001
10.5 IPS |
|
|
Pose Estimation (HP)
|
100% |
17057
19.9 IPS |
|
|
Pose Estimation (Q)
|
95% |
14770
17.3 IPS |
|
|
Object Detection (SP)
|
100% |
2358
187.1 IPS |
|
|
Object Detection (HP)
|
97% |
3744
298.0 IPS |
|
|
Object Detection (Q)
|
94% |
2551
203.4 IPS |
|
|
Face Detection (SP)
|
100% |
3464
41.2 IPS |
|
|
Face Detection (HP)
|
100% |
6762
80.3 IPS |
|
|
Face Detection (Q)
|
100% |
3789
45.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
7776
59.9 IPS |
|
|
Depth Estimation (HP)
|
97% |
13073
101.1 IPS |
|
|
Depth Estimation (Q)
|
86% |
9307
72.6 IPS |
|
|
Style Transfer (SP)
|
100% |
20838
26.8 IPS |
|
|
Style Transfer (HP)
|
100% |
35130
45.2 IPS |
|
|
Style Transfer (Q)
|
96% |
28895
37.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4934
182.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6548
241.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4672
172.5 IPS |
|
|
Text Classification (SP)
|
100% |
3567
4.76 KIPS |
|
|
Text Classification (HP)
|
99% |
6311
8.42 KIPS |
|
|
Text Classification (Q)
|
93% |
6291
8.44 KIPS |
|
|
Machine Translation (SP)
|
100% |
4042
69.6 IPS |
|
|
Machine Translation (HP)
|
98% |
6806
117.6 IPS |
|
|
Machine Translation (Q)
|
98% |
6536
112.9 IPS |
