iPhone18,4
Geekbench AI Score
4935
Single Precision Score
8086
Half Precision Score
6467
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| User | Aaronage |
| Upload Date | September 20 2025 11:30 AM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | ARM |
| System Information | |
|---|---|
| Operating System | iOS 26.0 |
| 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% |
2340
435.1 IPS |
|
|
Image Classification (HP)
|
100% |
3657
680.2 IPS |
|
|
Image Classification (Q)
|
96% |
2459
459.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
2033
33.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
2998
48.6 IPS |
|
|
Image Segmentation (Q)
|
99% |
3374
54.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
9949
11.6 IPS |
|
|
Pose Estimation (HP)
|
100% |
18475
21.6 IPS |
|
|
Pose Estimation (Q)
|
95% |
15605
18.3 IPS |
|
|
Object Detection (SP)
|
100% |
2476
196.4 IPS |
|
|
Object Detection (HP)
|
97% |
3973
316.3 IPS |
|
|
Object Detection (Q)
|
94% |
2721
216.9 IPS |
|
|
Face Detection (SP)
|
100% |
4159
49.4 IPS |
|
|
Face Detection (HP)
|
100% |
7853
93.3 IPS |
|
|
Face Detection (Q)
|
100% |
4073
48.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
7882
60.7 IPS |
|
|
Depth Estimation (HP)
|
97% |
13522
104.5 IPS |
|
|
Depth Estimation (Q)
|
86% |
9769
76.2 IPS |
|
|
Style Transfer (SP)
|
100% |
24335
31.3 IPS |
|
|
Style Transfer (HP)
|
100% |
36756
47.3 IPS |
|
|
Style Transfer (Q)
|
96% |
30546
39.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5569
205.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6965
257.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5005
184.8 IPS |
|
|
Text Classification (SP)
|
100% |
3569
4.76 KIPS |
|
|
Text Classification (HP)
|
99% |
6289
8.39 KIPS |
|
|
Text Classification (Q)
|
93% |
6451
8.66 KIPS |
|
|
Machine Translation (SP)
|
100% |
4617
79.5 IPS |
|
|
Machine Translation (HP)
|
98% |
8687
150.1 IPS |
|
|
Machine Translation (Q)
|
98% |
9262
160.1 IPS |
