iPhone18,4
Geekbench AI Score
4958
Single Precision Score
8132
Half Precision Score
6471
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | September 22 2025 12:58 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | ARM |
| System Information | |
|---|---|
| Operating System | iOS 26.0 |
| 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% |
2314
430.4 IPS |
|
|
Image Classification (HP)
|
100% |
3688
685.8 IPS |
|
|
Image Classification (Q)
|
96% |
2460
459.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
2119
34.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
3022
49.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
3416
55.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
10200
11.9 IPS |
|
|
Pose Estimation (HP)
|
100% |
17813
20.8 IPS |
|
|
Pose Estimation (Q)
|
95% |
15440
18.1 IPS |
|
|
Object Detection (SP)
|
100% |
2473
196.2 IPS |
|
|
Object Detection (HP)
|
97% |
3983
317.1 IPS |
|
|
Object Detection (Q)
|
94% |
2729
217.5 IPS |
|
|
Face Detection (SP)
|
100% |
4199
49.9 IPS |
|
|
Face Detection (HP)
|
100% |
8124
96.5 IPS |
|
|
Face Detection (Q)
|
100% |
4227
50.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
8101
62.4 IPS |
|
|
Depth Estimation (HP)
|
97% |
13501
104.4 IPS |
|
|
Depth Estimation (Q)
|
86% |
9686
75.6 IPS |
|
|
Style Transfer (SP)
|
100% |
23829
30.6 IPS |
|
|
Style Transfer (HP)
|
100% |
36468
46.9 IPS |
|
|
Style Transfer (Q)
|
96% |
30060
38.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5347
197.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6844
252.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4933
182.2 IPS |
|
|
Text Classification (SP)
|
100% |
3536
4.72 KIPS |
|
|
Text Classification (HP)
|
99% |
6409
8.55 KIPS |
|
|
Text Classification (Q)
|
93% |
6328
8.49 KIPS |
|
|
Machine Translation (SP)
|
100% |
4740
81.7 IPS |
|
|
Machine Translation (HP)
|
98% |
9121
157.6 IPS |
|
|
Machine Translation (Q)
|
98% |
9465
163.6 IPS |
