iPhone18,4
Geekbench AI Score
7914
Single Precision Score
14179
Half Precision Score
14181
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| User | foolsmac |
| Upload Date | November 26 2025 03:54 PM |
| Views | 6 |
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% |
3891
723.6 IPS |
|
|
Image Classification (HP)
|
100% |
7427
1.38 KIPS |
|
|
Image Classification (Q)
|
97% |
6886
1.29 KIPS |
|
|
Image Segmentation (SP)
|
100% |
5331
86.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
8853
143.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
9290
150.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
18253
21.3 IPS |
|
|
Pose Estimation (HP)
|
100% |
49524
57.8 IPS |
|
|
Pose Estimation (Q)
|
95% |
57284
67.1 IPS |
|
|
Object Detection (SP)
|
100% |
3957
313.9 IPS |
|
|
Object Detection (HP)
|
100% |
7735
613.5 IPS |
|
|
Object Detection (Q)
|
93% |
7073
564.3 IPS |
|
|
Face Detection (SP)
|
100% |
11026
131.0 IPS |
|
|
Face Detection (HP)
|
100% |
22036
261.8 IPS |
|
|
Face Detection (Q)
|
100% |
16430
195.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
16015
123.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
33950
261.6 IPS |
|
|
Depth Estimation (Q)
|
86% |
31085
242.7 IPS |
|
|
Style Transfer (SP)
|
100% |
39913
51.3 IPS |
|
|
Style Transfer (HP)
|
100% |
88606
113.9 IPS |
|
|
Style Transfer (Q)
|
96% |
108557
140.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
9331
344.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
18113
668.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
20535
758.3 IPS |
|
|
Text Classification (SP)
|
100% |
3561
4.75 KIPS |
|
|
Text Classification (HP)
|
99% |
6462
8.63 KIPS |
|
|
Text Classification (Q)
|
93% |
6443
8.65 KIPS |
|
|
Machine Translation (SP)
|
100% |
2749
47.4 IPS |
|
|
Machine Translation (HP)
|
100% |
1681
29.0 IPS |
|
|
Machine Translation (Q)
|
98% |
1731
29.9 IPS |
