iPhone18,4
Geekbench AI Score
5108
Single Precision Score
8332
Half Precision Score
6616
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | December 14 2025 05:45 AM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| 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% |
2322
431.8 IPS |
|
|
Image Classification (HP)
|
100% |
3732
694.0 IPS |
|
|
Image Classification (Q)
|
96% |
2475
462.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
2100
34.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
3022
49.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
3399
55.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
10702
12.5 IPS |
|
|
Pose Estimation (HP)
|
100% |
18925
22.1 IPS |
|
|
Pose Estimation (Q)
|
95% |
16341
19.2 IPS |
|
|
Object Detection (SP)
|
100% |
2583
204.9 IPS |
|
|
Object Detection (HP)
|
97% |
4119
327.9 IPS |
|
|
Object Detection (Q)
|
94% |
2831
225.7 IPS |
|
|
Face Detection (SP)
|
100% |
4473
53.1 IPS |
|
|
Face Detection (HP)
|
100% |
8231
97.8 IPS |
|
|
Face Detection (Q)
|
100% |
4450
52.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
8285
63.8 IPS |
|
|
Depth Estimation (HP)
|
97% |
14166
109.5 IPS |
|
|
Depth Estimation (Q)
|
86% |
9994
78.0 IPS |
|
|
Style Transfer (SP)
|
100% |
24090
31.0 IPS |
|
|
Style Transfer (HP)
|
100% |
37382
48.1 IPS |
|
|
Style Transfer (Q)
|
96% |
30859
39.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5456
201.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6949
256.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4945
182.6 IPS |
|
|
Text Classification (SP)
|
100% |
3494
4.66 KIPS |
|
|
Text Classification (HP)
|
99% |
6421
8.57 KIPS |
|
|
Text Classification (Q)
|
93% |
6351
8.52 KIPS |
|
|
Machine Translation (SP)
|
100% |
5279
90.9 IPS |
|
|
Machine Translation (HP)
|
98% |
9440
163.1 IPS |
|
|
Machine Translation (Q)
|
98% |
9580
165.6 IPS |
