iPhone18,4
Geekbench AI Score
7284
Single Precision Score
14388
Half Precision Score
13700
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | November 07 2025 04:19 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | ARM |
| System Information | |
|---|---|
| Operating System | iOS 26.1 |
| Model | iPhone18,4 |
| Model ID | iPhone18,4 |
| Motherboard | D23AP |
| CPU Information | |
|---|---|
| Name | ARM |
| Topology | 1 Processor, 6 Cores |
| Identifier | ARM |
| Base Frequency | 4.20 GHz |
| Cluster 1 | 2 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 11.46 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
3940
732.8 IPS |
|
|
Image Classification (HP)
|
100% |
7492
1.39 KIPS |
|
|
Image Classification (Q)
|
97% |
6863
1.28 KIPS |
|
|
Image Segmentation (SP)
|
100% |
5352
86.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
8806
142.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
9286
150.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
13961
16.3 IPS |
|
|
Pose Estimation (HP)
|
100% |
40260
47.0 IPS |
|
|
Pose Estimation (Q)
|
95% |
51375
60.2 IPS |
|
|
Object Detection (SP)
|
100% |
2977
236.1 IPS |
|
|
Object Detection (HP)
|
100% |
7077
561.3 IPS |
|
|
Object Detection (Q)
|
93% |
7104
566.7 IPS |
|
|
Face Detection (SP)
|
100% |
10775
128.0 IPS |
|
|
Face Detection (HP)
|
100% |
19560
232.4 IPS |
|
|
Face Detection (Q)
|
100% |
15763
187.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
13726
105.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
32129
247.5 IPS |
|
|
Depth Estimation (Q)
|
86% |
35344
276.0 IPS |
|
|
Style Transfer (SP)
|
100% |
34905
44.9 IPS |
|
|
Style Transfer (HP)
|
100% |
69388
89.2 IPS |
|
|
Style Transfer (Q)
|
96% |
82641
106.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
7568
279.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
17562
648.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
18984
701.0 IPS |
|
|
Text Classification (SP)
|
100% |
3524
4.70 KIPS |
|
|
Text Classification (HP)
|
99% |
6403
8.55 KIPS |
|
|
Text Classification (Q)
|
93% |
6415
8.61 KIPS |
|
|
Machine Translation (SP)
|
100% |
3487
60.1 IPS |
|
|
Machine Translation (HP)
|
100% |
4127
71.1 IPS |
|
|
Machine Translation (Q)
|
98% |
1786
30.9 IPS |
