iPhone18,4
Geekbench AI Score
4708
Single Precision Score
35220
Half Precision Score
49021
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| User | drich290195 |
| Upload Date | October 20 2025 11:19 PM |
| Views | 8 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| 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% |
2309
429.4 IPS |
|
|
Image Classification (HP)
|
100% |
16084
2.99 KIPS |
|
|
Image Classification (Q)
|
97% |
23476
4.38 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2101
34.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
18687
302.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
23793
385.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
8994
10.5 IPS |
|
|
Pose Estimation (HP)
|
100% |
139427
162.7 IPS |
|
|
Pose Estimation (Q)
|
95% |
276067
323.6 IPS |
|
|
Object Detection (SP)
|
100% |
2287
181.4 IPS |
|
|
Object Detection (HP)
|
100% |
17720
1.41 KIPS |
|
|
Object Detection (Q)
|
91% |
25116
2.01 KIPS |
|
|
Face Detection (SP)
|
100% |
3963
47.1 IPS |
|
|
Face Detection (HP)
|
100% |
39642
471.0 IPS |
|
|
Face Detection (Q)
|
100% |
54887
652.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
8012
61.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
99404
765.8 IPS |
|
|
Depth Estimation (Q)
|
85% |
167240
1.31 KIPS |
|
|
Style Transfer (SP)
|
100% |
21196
27.2 IPS |
|
|
Style Transfer (HP)
|
100% |
249477
320.7 IPS |
|
|
Style Transfer (Q)
|
96% |
344233
444.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4960
183.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
58407
2.16 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
87791
3.24 KIPS |
|
|
Text Classification (SP)
|
100% |
3619
4.83 KIPS |
|
|
Text Classification (HP)
|
99% |
6795
9.07 KIPS |
|
|
Text Classification (Q)
|
93% |
6562
8.81 KIPS |
|
|
Machine Translation (SP)
|
100% |
4447
76.6 IPS |
|
|
Machine Translation (HP)
|
100% |
10138
174.6 IPS |
|
|
Machine Translation (Q)
|
98% |
11368
196.5 IPS |
