iPhone18,4
Geekbench AI Score
4943
Single Precision Score
8108
Half Precision Score
6416
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| User | hidko |
| Upload Date | September 26 2025 07:55 PM |
| Views | 4 |
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 | 4.25 GHz |
| Cluster 1 | 2 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 11.46 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2337
434.6 IPS |
|
|
Image Classification (HP)
|
100% |
3688
685.8 IPS |
|
|
Image Classification (Q)
|
96% |
2469
461.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
2077
33.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
2990
48.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
3371
54.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
10124
11.8 IPS |
|
|
Pose Estimation (HP)
|
100% |
18491
21.6 IPS |
|
|
Pose Estimation (Q)
|
95% |
15714
18.4 IPS |
|
|
Object Detection (SP)
|
100% |
2515
199.5 IPS |
|
|
Object Detection (HP)
|
97% |
3885
309.3 IPS |
|
|
Object Detection (Q)
|
94% |
2724
217.1 IPS |
|
|
Face Detection (SP)
|
100% |
4167
49.5 IPS |
|
|
Face Detection (HP)
|
100% |
7709
91.6 IPS |
|
|
Face Detection (Q)
|
100% |
4145
49.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
8083
62.3 IPS |
|
|
Depth Estimation (HP)
|
97% |
13771
106.5 IPS |
|
|
Depth Estimation (Q)
|
86% |
9006
70.3 IPS |
|
|
Style Transfer (SP)
|
100% |
23238
29.9 IPS |
|
|
Style Transfer (HP)
|
100% |
37348
48.0 IPS |
|
|
Style Transfer (Q)
|
96% |
30414
39.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5461
201.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6591
243.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4994
184.4 IPS |
|
|
Text Classification (SP)
|
100% |
3532
4.71 KIPS |
|
|
Text Classification (HP)
|
99% |
6377
8.51 KIPS |
|
|
Text Classification (Q)
|
93% |
6313
8.47 KIPS |
|
|
Machine Translation (SP)
|
100% |
4673
80.5 IPS |
|
|
Machine Translation (HP)
|
98% |
9306
160.8 IPS |
|
|
Machine Translation (Q)
|
98% |
9274
160.3 IPS |
