iPhone18,4
Geekbench AI Score
7237
Single Precision Score
14153
Half Precision Score
13721
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | November 14 2025 05:31 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 | 4.25 GHz |
| Cluster 1 | 2 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 11.46 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
3976
739.4 IPS |
|
|
Image Classification (HP)
|
100% |
7444
1.38 KIPS |
|
|
Image Classification (Q)
|
97% |
6860
1.28 KIPS |
|
|
Image Segmentation (SP)
|
100% |
5358
86.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
8691
140.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
9283
150.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
17932
20.9 IPS |
|
|
Pose Estimation (HP)
|
100% |
49055
57.2 IPS |
|
|
Pose Estimation (Q)
|
95% |
56888
66.7 IPS |
|
|
Object Detection (SP)
|
100% |
3955
313.7 IPS |
|
|
Object Detection (HP)
|
100% |
7666
608.1 IPS |
|
|
Object Detection (Q)
|
93% |
7199
574.3 IPS |
|
|
Face Detection (SP)
|
100% |
10975
130.4 IPS |
|
|
Face Detection (HP)
|
100% |
20173
239.7 IPS |
|
|
Face Detection (Q)
|
100% |
15798
187.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
14420
111.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
24552
189.2 IPS |
|
|
Depth Estimation (Q)
|
86% |
35154
274.5 IPS |
|
|
Style Transfer (SP)
|
100% |
32241
41.4 IPS |
|
|
Style Transfer (HP)
|
100% |
64047
82.3 IPS |
|
|
Style Transfer (Q)
|
96% |
77939
100.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
7202
265.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
15540
573.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
18696
690.3 IPS |
|
|
Text Classification (SP)
|
100% |
3501
4.67 KIPS |
|
|
Text Classification (HP)
|
99% |
6344
8.47 KIPS |
|
|
Text Classification (Q)
|
93% |
6357
8.53 KIPS |
|
|
Machine Translation (SP)
|
100% |
2028
34.9 IPS |
|
|
Machine Translation (HP)
|
100% |
4239
73.0 IPS |
|
|
Machine Translation (Q)
|
98% |
1764
30.5 IPS |
