iPhone18,4
Geekbench AI Score
7472
Single Precision Score
14315
Half Precision Score
13417
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| User | Pijiuhua |
| Upload Date | December 07 2025 01:43 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 | 4.25 GHz |
| Cluster 1 | 2 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 11.46 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
3892
723.7 IPS |
|
|
Image Classification (HP)
|
100% |
7441
1.38 KIPS |
|
|
Image Classification (Q)
|
97% |
6889
1.29 KIPS |
|
|
Image Segmentation (SP)
|
100% |
5352
86.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
8822
143.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
9277
150.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
18112
21.1 IPS |
|
|
Pose Estimation (HP)
|
100% |
49047
57.2 IPS |
|
|
Pose Estimation (Q)
|
95% |
57168
67.0 IPS |
|
|
Object Detection (SP)
|
100% |
3909
310.1 IPS |
|
|
Object Detection (HP)
|
100% |
7554
599.2 IPS |
|
|
Object Detection (Q)
|
93% |
7067
563.8 IPS |
|
|
Face Detection (SP)
|
100% |
10936
129.9 IPS |
|
|
Face Detection (HP)
|
100% |
22001
261.4 IPS |
|
|
Face Detection (Q)
|
100% |
16050
190.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
15324
118.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
33382
257.2 IPS |
|
|
Depth Estimation (Q)
|
86% |
35054
273.7 IPS |
|
|
Style Transfer (SP)
|
100% |
30991
39.8 IPS |
|
|
Style Transfer (HP)
|
100% |
60348
77.6 IPS |
|
|
Style Transfer (Q)
|
96% |
73747
95.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
6898
254.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
14919
550.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
16507
609.5 IPS |
|
|
Text Classification (SP)
|
100% |
3561
4.75 KIPS |
|
|
Text Classification (HP)
|
99% |
5843
7.80 KIPS |
|
|
Text Classification (Q)
|
93% |
6186
8.30 KIPS |
|
|
Machine Translation (SP)
|
100% |
2886
49.7 IPS |
|
|
Machine Translation (HP)
|
100% |
3847
66.3 IPS |
|
|
Machine Translation (Q)
|
98% |
1729
29.9 IPS |
