iPhone18,1
Geekbench AI Score
4515
Single Precision Score
30060
Half Precision Score
40156
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | September 19 2025 03:27 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | ARM |
| System Information | |
|---|---|
| Operating System | iOS 26.0 |
| Model | iPhone18,1 |
| Model ID | iPhone18,1 |
| Motherboard | V53AP |
| 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 | 11.45 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2304
428.4 IPS |
|
|
Image Classification (HP)
|
100% |
15869
2.95 KIPS |
|
|
Image Classification (Q)
|
97% |
20718
3.87 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2107
34.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
19843
321.7 IPS |
|
|
Image Segmentation (Q)
|
99% |
23644
383.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
9166
10.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
126290
147.4 IPS |
|
|
Pose Estimation (Q)
|
95% |
234202
274.5 IPS |
|
|
Object Detection (SP)
|
100% |
2228
176.7 IPS |
|
|
Object Detection (HP)
|
100% |
15171
1.20 KIPS |
|
|
Object Detection (Q)
|
91% |
20827
1.66 KIPS |
|
|
Face Detection (SP)
|
100% |
3740
44.4 IPS |
|
|
Face Detection (HP)
|
100% |
29803
354.1 IPS |
|
|
Face Detection (Q)
|
100% |
41445
492.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
7778
59.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
80592
620.9 IPS |
|
|
Depth Estimation (Q)
|
85% |
123730
967.4 IPS |
|
|
Style Transfer (SP)
|
100% |
17869
23.0 IPS |
|
|
Style Transfer (HP)
|
100% |
188045
241.7 IPS |
|
|
Style Transfer (Q)
|
96% |
259576
335.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5042
186.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
46749
1.73 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
72477
2.68 KIPS |
|
|
Text Classification (SP)
|
100% |
3265
4.36 KIPS |
|
|
Text Classification (HP)
|
99% |
5470
7.30 KIPS |
|
|
Text Classification (Q)
|
93% |
5231
7.02 KIPS |
|
|
Machine Translation (SP)
|
100% |
4151
71.5 IPS |
|
|
Machine Translation (HP)
|
100% |
8648
149.0 IPS |
|
|
Machine Translation (Q)
|
98% |
9043
156.3 IPS |
