iPhone18,4
Geekbench AI Score
4025
Single Precision Score
5938
Half Precision Score
5157
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | December 06 2025 08:44 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| 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 | 4.26 GHz |
| Cluster 1 | 2 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 11.46 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1452
270.0 IPS |
|
|
Image Classification (HP)
|
100% |
2270
422.2 IPS |
|
|
Image Classification (Q)
|
96% |
1751
326.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
2005
32.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
2875
46.6 IPS |
|
|
Image Segmentation (Q)
|
99% |
3057
49.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
8247
9.62 IPS |
|
|
Pose Estimation (HP)
|
100% |
15098
17.6 IPS |
|
|
Pose Estimation (Q)
|
95% |
12479
14.6 IPS |
|
|
Object Detection (SP)
|
100% |
1796
142.5 IPS |
|
|
Object Detection (HP)
|
97% |
2486
197.9 IPS |
|
|
Object Detection (Q)
|
94% |
1976
157.5 IPS |
|
|
Face Detection (SP)
|
100% |
3583
42.6 IPS |
|
|
Face Detection (HP)
|
100% |
4407
52.4 IPS |
|
|
Face Detection (Q)
|
100% |
2553
30.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
5469
42.1 IPS |
|
|
Depth Estimation (HP)
|
97% |
8209
63.5 IPS |
|
|
Depth Estimation (Q)
|
86% |
6242
48.7 IPS |
|
|
Style Transfer (SP)
|
100% |
13914
17.9 IPS |
|
|
Style Transfer (HP)
|
100% |
21318
27.4 IPS |
|
|
Style Transfer (Q)
|
96% |
24515
31.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5479
202.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6769
249.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4835
178.5 IPS |
|
|
Text Classification (SP)
|
100% |
3509
4.68 KIPS |
|
|
Text Classification (HP)
|
99% |
6427
8.58 KIPS |
|
|
Text Classification (Q)
|
93% |
6433
8.63 KIPS |
|
|
Machine Translation (SP)
|
100% |
4938
85.1 IPS |
|
|
Machine Translation (HP)
|
98% |
6637
114.7 IPS |
|
|
Machine Translation (Q)
|
98% |
8299
143.4 IPS |
