iPhone18,4
Geekbench AI Score
7097
Single Precision Score
14934
Half Precision Score
13784
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| User | foolsmac |
| Upload Date | November 26 2025 03:51 PM |
| Views | 8 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | ARM |
| System Information | |
|---|---|
| Operating System | iOS 26.2 |
| 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% |
3965
737.4 IPS |
|
|
Image Classification (HP)
|
100% |
7653
1.42 KIPS |
|
|
Image Classification (Q)
|
97% |
6891
1.29 KIPS |
|
|
Image Segmentation (SP)
|
100% |
5354
86.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
8872
143.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
9302
150.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
18220
21.3 IPS |
|
|
Pose Estimation (HP)
|
100% |
49457
57.7 IPS |
|
|
Pose Estimation (Q)
|
95% |
52998
62.1 IPS |
|
|
Object Detection (SP)
|
100% |
3208
254.5 IPS |
|
|
Object Detection (HP)
|
100% |
7538
597.9 IPS |
|
|
Object Detection (Q)
|
93% |
7130
568.8 IPS |
|
|
Face Detection (SP)
|
100% |
10876
129.2 IPS |
|
|
Face Detection (HP)
|
100% |
20186
239.9 IPS |
|
|
Face Detection (Q)
|
100% |
15642
185.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
14124
108.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
31434
242.2 IPS |
|
|
Depth Estimation (Q)
|
86% |
35172
274.6 IPS |
|
|
Style Transfer (SP)
|
100% |
34026
43.7 IPS |
|
|
Style Transfer (HP)
|
100% |
68096
87.5 IPS |
|
|
Style Transfer (Q)
|
96% |
83152
107.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
7646
282.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
16513
609.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
19630
724.8 IPS |
|
|
Text Classification (SP)
|
100% |
3495
4.66 KIPS |
|
|
Text Classification (HP)
|
99% |
6510
8.69 KIPS |
|
|
Text Classification (Q)
|
93% |
6635
8.91 KIPS |
|
|
Machine Translation (SP)
|
100% |
1871
32.2 IPS |
|
|
Machine Translation (HP)
|
100% |
4696
80.9 IPS |
|
|
Machine Translation (Q)
|
98% |
1716
29.6 IPS |
