iPhone18,4
Geekbench AI Score
5177
Single Precision Score
35092
Half Precision Score
47861
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | September 22 2025 09:11 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| 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% |
2343
435.7 IPS |
|
|
Image Classification (HP)
|
100% |
14822
2.76 KIPS |
|
|
Image Classification (Q)
|
97% |
20729
3.87 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2131
34.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
19799
321.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
25218
408.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
10626
12.4 IPS |
|
|
Pose Estimation (HP)
|
100% |
157642
183.9 IPS |
|
|
Pose Estimation (Q)
|
95% |
285207
334.3 IPS |
|
|
Object Detection (SP)
|
100% |
2643
209.6 IPS |
|
|
Object Detection (HP)
|
100% |
17280
1.37 KIPS |
|
|
Object Detection (Q)
|
91% |
24369
1.95 KIPS |
|
|
Face Detection (SP)
|
100% |
4447
52.8 IPS |
|
|
Face Detection (HP)
|
100% |
41098
488.3 IPS |
|
|
Face Detection (Q)
|
100% |
51318
609.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
8473
65.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
101114
779.0 IPS |
|
|
Depth Estimation (Q)
|
85% |
159086
1.24 KIPS |
|
|
Style Transfer (SP)
|
100% |
24997
32.1 IPS |
|
|
Style Transfer (HP)
|
100% |
258417
332.2 IPS |
|
|
Style Transfer (Q)
|
96% |
351178
453.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5624
207.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
55630
2.05 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
81602
3.01 KIPS |
|
|
Text Classification (SP)
|
100% |
3572
4.77 KIPS |
|
|
Text Classification (HP)
|
99% |
6483
8.65 KIPS |
|
|
Text Classification (Q)
|
93% |
6356
8.53 KIPS |
|
|
Machine Translation (SP)
|
100% |
5216
89.8 IPS |
|
|
Machine Translation (HP)
|
100% |
9147
157.6 IPS |
|
|
Machine Translation (Q)
|
98% |
11674
201.7 IPS |
