iPhone18,4
Geekbench AI Score
4982
Single Precision Score
8100
Half Precision Score
6554
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| User | acuesta |
| Upload Date | October 02 2025 04:49 PM |
| Views | 8 |
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% |
2351
437.1 IPS |
|
|
Image Classification (HP)
|
100% |
3766
700.4 IPS |
|
|
Image Classification (Q)
|
96% |
2492
465.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
2059
33.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
3011
48.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
3401
55.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
10258
12.0 IPS |
|
|
Pose Estimation (HP)
|
100% |
18743
21.9 IPS |
|
|
Pose Estimation (Q)
|
95% |
15937
18.7 IPS |
|
|
Object Detection (SP)
|
100% |
2537
201.3 IPS |
|
|
Object Detection (HP)
|
97% |
4049
322.3 IPS |
|
|
Object Detection (Q)
|
94% |
2781
221.7 IPS |
|
|
Face Detection (SP)
|
100% |
4316
51.3 IPS |
|
|
Face Detection (HP)
|
100% |
8114
96.4 IPS |
|
|
Face Detection (Q)
|
100% |
4256
50.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
8327
64.2 IPS |
|
|
Depth Estimation (HP)
|
97% |
14012
108.3 IPS |
|
|
Depth Estimation (Q)
|
86% |
9940
77.6 IPS |
|
|
Style Transfer (SP)
|
100% |
24427
31.4 IPS |
|
|
Style Transfer (HP)
|
100% |
37010
47.6 IPS |
|
|
Style Transfer (Q)
|
96% |
30913
39.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5475
202.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6983
257.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5009
185.0 IPS |
|
|
Text Classification (SP)
|
100% |
3552
4.74 KIPS |
|
|
Text Classification (HP)
|
99% |
6485
8.66 KIPS |
|
|
Text Classification (Q)
|
93% |
6401
8.59 KIPS |
|
|
Machine Translation (SP)
|
100% |
4381
75.5 IPS |
|
|
Machine Translation (HP)
|
98% |
7418
128.2 IPS |
|
|
Machine Translation (Q)
|
98% |
9295
160.6 IPS |
