iPhone18,4
Geekbench AI Score
4768
Single Precision Score
7971
Half Precision Score
6349
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | November 08 2025 03:00 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% |
2348
436.6 IPS |
|
|
Image Classification (HP)
|
100% |
3781
703.1 IPS |
|
|
Image Classification (Q)
|
96% |
2490
465.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
2043
33.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
2910
47.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
3356
54.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
9783
11.4 IPS |
|
|
Pose Estimation (HP)
|
100% |
17903
20.9 IPS |
|
|
Pose Estimation (Q)
|
95% |
14933
17.5 IPS |
|
|
Object Detection (SP)
|
100% |
2350
186.4 IPS |
|
|
Object Detection (HP)
|
97% |
3985
317.3 IPS |
|
|
Object Detection (Q)
|
94% |
2627
209.4 IPS |
|
|
Face Detection (SP)
|
100% |
3298
39.2 IPS |
|
|
Face Detection (HP)
|
100% |
7620
90.5 IPS |
|
|
Face Detection (Q)
|
100% |
3920
46.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
7957
61.3 IPS |
|
|
Depth Estimation (HP)
|
97% |
13217
102.2 IPS |
|
|
Depth Estimation (Q)
|
86% |
9376
73.2 IPS |
|
|
Style Transfer (SP)
|
100% |
23259
29.9 IPS |
|
|
Style Transfer (HP)
|
100% |
36162
46.5 IPS |
|
|
Style Transfer (Q)
|
96% |
30231
39.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5490
202.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6756
249.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4970
183.5 IPS |
|
|
Text Classification (SP)
|
100% |
3586
4.79 KIPS |
|
|
Text Classification (HP)
|
99% |
6543
8.73 KIPS |
|
|
Text Classification (Q)
|
93% |
6446
8.65 KIPS |
|
|
Machine Translation (SP)
|
100% |
4587
79.0 IPS |
|
|
Machine Translation (HP)
|
98% |
8201
141.7 IPS |
|
|
Machine Translation (Q)
|
98% |
9121
157.6 IPS |
