iPhone18,1
Geekbench AI Score
5140
Single Precision Score
36519
Half Precision Score
49604
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| User | Pijiuhua |
| Upload Date | December 14 2025 07:45 AM |
| Views | 9 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | ARM |
| System Information | |
|---|---|
| Operating System | iOS 26.2 |
| 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% |
2349
436.9 IPS |
|
|
Image Classification (HP)
|
100% |
16551
3.08 KIPS |
|
|
Image Classification (Q)
|
97% |
22672
4.23 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2205
35.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
19738
320.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
25659
415.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
10012
11.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
157841
184.2 IPS |
|
|
Pose Estimation (Q)
|
95% |
294977
345.7 IPS |
|
|
Object Detection (SP)
|
100% |
2593
205.7 IPS |
|
|
Object Detection (HP)
|
100% |
18258
1.45 KIPS |
|
|
Object Detection (Q)
|
91% |
25437
2.03 KIPS |
|
|
Face Detection (SP)
|
100% |
4570
54.3 IPS |
|
|
Face Detection (HP)
|
100% |
41256
490.2 IPS |
|
|
Face Detection (Q)
|
100% |
52183
620.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
8579
66.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
107899
831.3 IPS |
|
|
Depth Estimation (Q)
|
85% |
174406
1.36 KIPS |
|
|
Style Transfer (SP)
|
100% |
25150
32.3 IPS |
|
|
Style Transfer (HP)
|
100% |
259808
334.0 IPS |
|
|
Style Transfer (Q)
|
96% |
352184
454.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5738
211.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
57281
2.12 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
87128
3.22 KIPS |
|
|
Text Classification (SP)
|
100% |
3230
4.31 KIPS |
|
|
Text Classification (HP)
|
99% |
6175
8.24 KIPS |
|
|
Text Classification (Q)
|
93% |
6224
8.35 KIPS |
|
|
Machine Translation (SP)
|
100% |
5241
90.3 IPS |
|
|
Machine Translation (HP)
|
100% |
10956
188.7 IPS |
|
|
Machine Translation (Q)
|
98% |
11888
205.4 IPS |
