iPhone18,4
Geekbench AI Score
7392
Single Precision Score
15203
Half Precision Score
13958
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | November 13 2025 07:38 PM |
| Views | 3 |
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 | 4.24 GHz |
| Cluster 1 | 2 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 11.46 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
3968
737.9 IPS |
|
|
Image Classification (HP)
|
100% |
7437
1.38 KIPS |
|
|
Image Classification (Q)
|
97% |
6863
1.28 KIPS |
|
|
Image Segmentation (SP)
|
100% |
5358
86.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
8851
143.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
9283
150.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
17954
20.9 IPS |
|
|
Pose Estimation (HP)
|
100% |
48737
56.9 IPS |
|
|
Pose Estimation (Q)
|
95% |
56951
66.7 IPS |
|
|
Object Detection (SP)
|
100% |
3948
313.2 IPS |
|
|
Object Detection (HP)
|
100% |
7647
606.5 IPS |
|
|
Object Detection (Q)
|
93% |
7078
564.6 IPS |
|
|
Face Detection (SP)
|
100% |
10988
130.6 IPS |
|
|
Face Detection (HP)
|
100% |
21717
258.0 IPS |
|
|
Face Detection (Q)
|
100% |
16249
193.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
16012
123.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
33512
258.2 IPS |
|
|
Depth Estimation (Q)
|
86% |
35539
277.5 IPS |
|
|
Style Transfer (SP)
|
100% |
34156
43.9 IPS |
|
|
Style Transfer (HP)
|
100% |
72787
93.6 IPS |
|
|
Style Transfer (Q)
|
96% |
84122
108.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
8039
296.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
17265
637.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
19315
713.2 IPS |
|
|
Text Classification (SP)
|
100% |
3513
4.69 KIPS |
|
|
Text Classification (HP)
|
99% |
6412
8.56 KIPS |
|
|
Text Classification (Q)
|
93% |
6379
8.56 KIPS |
|
|
Machine Translation (SP)
|
100% |
1907
32.8 IPS |
|
|
Machine Translation (HP)
|
100% |
4588
79.0 IPS |
|
|
Machine Translation (Q)
|
98% |
1827
31.6 IPS |
