iPhone18,4
Geekbench AI Score
5008
Single Precision Score
8137
Half Precision Score
6411
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| User | dipsan |
| Upload Date | October 31 2025 02:17 PM |
| Views | 6 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | ARM |
| System Information | |
|---|---|
| Operating System | iOS 26.0.1 |
| 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% |
2346
436.3 IPS |
|
|
Image Classification (HP)
|
100% |
3734
694.5 IPS |
|
|
Image Classification (Q)
|
96% |
2485
464.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
2136
34.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
3015
48.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
3406
55.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
10072
11.8 IPS |
|
|
Pose Estimation (HP)
|
100% |
18150
21.2 IPS |
|
|
Pose Estimation (Q)
|
95% |
15253
17.9 IPS |
|
|
Object Detection (SP)
|
100% |
2492
197.7 IPS |
|
|
Object Detection (HP)
|
97% |
4001
318.6 IPS |
|
|
Object Detection (Q)
|
94% |
2701
215.3 IPS |
|
|
Face Detection (SP)
|
100% |
4140
49.2 IPS |
|
|
Face Detection (HP)
|
100% |
7948
94.4 IPS |
|
|
Face Detection (Q)
|
100% |
4049
48.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
8236
63.5 IPS |
|
|
Depth Estimation (HP)
|
97% |
13407
103.6 IPS |
|
|
Depth Estimation (Q)
|
86% |
9642
75.3 IPS |
|
|
Style Transfer (SP)
|
100% |
23605
30.3 IPS |
|
|
Style Transfer (HP)
|
100% |
36455
46.9 IPS |
|
|
Style Transfer (Q)
|
96% |
29507
38.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5440
200.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6861
253.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4907
181.2 IPS |
|
|
Text Classification (SP)
|
100% |
3533
4.72 KIPS |
|
|
Text Classification (HP)
|
99% |
6441
8.60 KIPS |
|
|
Text Classification (Q)
|
93% |
6443
8.65 KIPS |
|
|
Machine Translation (SP)
|
100% |
5107
88.0 IPS |
|
|
Machine Translation (HP)
|
98% |
9067
156.7 IPS |
|
|
Machine Translation (Q)
|
98% |
9248
159.8 IPS |
