iPhone18,4
Geekbench AI Score
6883
Single Precision Score
14295
Half Precision Score
14967
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| User | dipsan |
| Upload Date | October 31 2025 02:23 PM |
| Views | 8 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| 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% |
3942
733.1 IPS |
|
|
Image Classification (HP)
|
100% |
7429
1.38 KIPS |
|
|
Image Classification (Q)
|
97% |
6849
1.28 KIPS |
|
|
Image Segmentation (SP)
|
100% |
5356
86.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
8872
143.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
9292
150.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
18048
21.1 IPS |
|
|
Pose Estimation (HP)
|
100% |
49000
57.2 IPS |
|
|
Pose Estimation (Q)
|
95% |
52925
62.0 IPS |
|
|
Object Detection (SP)
|
100% |
3116
247.2 IPS |
|
|
Object Detection (HP)
|
100% |
7557
599.4 IPS |
|
|
Object Detection (Q)
|
93% |
7213
575.4 IPS |
|
|
Face Detection (SP)
|
100% |
10882
129.3 IPS |
|
|
Face Detection (HP)
|
100% |
21182
251.7 IPS |
|
|
Face Detection (Q)
|
100% |
15726
186.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
12090
93.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
26959
207.7 IPS |
|
|
Depth Estimation (Q)
|
86% |
35450
276.8 IPS |
|
|
Style Transfer (SP)
|
100% |
30921
39.7 IPS |
|
|
Style Transfer (HP)
|
100% |
57771
74.3 IPS |
|
|
Style Transfer (Q)
|
96% |
77056
99.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
6960
257.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
16366
604.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
17428
643.5 IPS |
|
|
Text Classification (SP)
|
100% |
3435
4.58 KIPS |
|
|
Text Classification (HP)
|
99% |
6268
8.37 KIPS |
|
|
Text Classification (Q)
|
93% |
6341
8.51 KIPS |
|
|
Machine Translation (SP)
|
100% |
2068
35.6 IPS |
|
|
Machine Translation (HP)
|
100% |
4317
74.4 IPS |
|
|
Machine Translation (Q)
|
98% |
4892
84.5 IPS |
