iPhone18,1
Geekbench AI Score
5106
Single Precision Score
36652
Half Precision Score
49610
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| User | Pijiuhua |
| Upload Date | December 07 2025 01:27 PM |
| Views | 2 |
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 | 4.24 GHz |
| Cluster 1 | 2 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 11.45 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2259
420.2 IPS |
|
|
Image Classification (HP)
|
100% |
16375
3.05 KIPS |
|
|
Image Classification (Q)
|
97% |
21849
4.08 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2107
34.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
20011
324.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
25393
411.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
10086
11.8 IPS |
|
|
Pose Estimation (HP)
|
100% |
159845
186.5 IPS |
|
|
Pose Estimation (Q)
|
95% |
298386
349.7 IPS |
|
|
Object Detection (SP)
|
100% |
2605
206.6 IPS |
|
|
Object Detection (HP)
|
100% |
17920
1.42 KIPS |
|
|
Object Detection (Q)
|
91% |
25225
2.02 KIPS |
|
|
Face Detection (SP)
|
100% |
4534
53.9 IPS |
|
|
Face Detection (HP)
|
100% |
41237
490.0 IPS |
|
|
Face Detection (Q)
|
100% |
53006
629.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
8506
65.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
105679
814.2 IPS |
|
|
Depth Estimation (Q)
|
85% |
172525
1.35 KIPS |
|
|
Style Transfer (SP)
|
100% |
24915
32.0 IPS |
|
|
Style Transfer (HP)
|
100% |
259931
334.1 IPS |
|
|
Style Transfer (Q)
|
96% |
352045
454.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5504
203.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
57599
2.13 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
86613
3.20 KIPS |
|
|
Text Classification (SP)
|
100% |
3531
4.71 KIPS |
|
|
Text Classification (HP)
|
99% |
6474
8.64 KIPS |
|
|
Text Classification (Q)
|
93% |
6445
8.65 KIPS |
|
|
Machine Translation (SP)
|
100% |
5160
88.9 IPS |
|
|
Machine Translation (HP)
|
100% |
11037
190.1 IPS |
|
|
Machine Translation (Q)
|
98% |
12033
207.9 IPS |
