iPhone18,4
Geekbench AI Score
6873
Single Precision Score
14700
Half Precision Score
13882
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | November 14 2025 08:18 PM |
| 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 | 4.26 GHz |
| Cluster 1 | 2 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 11.46 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
3982
740.5 IPS |
|
|
Image Classification (HP)
|
100% |
7469
1.39 KIPS |
|
|
Image Classification (Q)
|
97% |
6878
1.28 KIPS |
|
|
Image Segmentation (SP)
|
100% |
5356
86.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
8891
144.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
9280
150.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
13905
16.2 IPS |
|
|
Pose Estimation (HP)
|
100% |
40199
46.9 IPS |
|
|
Pose Estimation (Q)
|
95% |
52614
61.7 IPS |
|
|
Object Detection (SP)
|
100% |
2926
232.1 IPS |
|
|
Object Detection (HP)
|
100% |
7494
594.4 IPS |
|
|
Object Detection (Q)
|
93% |
7156
570.9 IPS |
|
|
Face Detection (SP)
|
100% |
10812
128.5 IPS |
|
|
Face Detection (HP)
|
100% |
19868
236.1 IPS |
|
|
Face Detection (Q)
|
100% |
15941
189.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
13933
107.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
31796
245.0 IPS |
|
|
Depth Estimation (Q)
|
86% |
35654
278.4 IPS |
|
|
Style Transfer (SP)
|
100% |
34690
44.6 IPS |
|
|
Style Transfer (HP)
|
100% |
68707
88.3 IPS |
|
|
Style Transfer (Q)
|
96% |
81317
104.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
7849
289.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
17589
649.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
20115
742.7 IPS |
|
|
Text Classification (SP)
|
100% |
3537
4.72 KIPS |
|
|
Text Classification (HP)
|
99% |
6425
8.58 KIPS |
|
|
Text Classification (Q)
|
93% |
6399
8.59 KIPS |
|
|
Machine Translation (SP)
|
100% |
1869
32.2 IPS |
|
|
Machine Translation (HP)
|
100% |
4803
82.7 IPS |
|
|
Machine Translation (Q)
|
98% |
1860
32.1 IPS |
