iPhone18,1
Geekbench AI Score
5162
Single Precision Score
36553
Half Precision Score
49582
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| User | Pijiuhua |
| Upload Date | January 06 2026 11:59 AM |
| Views | 4 |
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 | 4.26 GHz |
| Cluster 1 | 2 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 11.45 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2267
421.6 IPS |
|
|
Image Classification (HP)
|
100% |
16563
3.08 KIPS |
|
|
Image Classification (Q)
|
97% |
22008
4.11 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2149
34.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
19852
321.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
25589
414.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
10794
12.6 IPS |
|
|
Pose Estimation (HP)
|
100% |
160487
187.3 IPS |
|
|
Pose Estimation (Q)
|
95% |
298549
349.9 IPS |
|
|
Object Detection (SP)
|
100% |
2628
208.4 IPS |
|
|
Object Detection (HP)
|
100% |
17984
1.43 KIPS |
|
|
Object Detection (Q)
|
91% |
25564
2.04 KIPS |
|
|
Face Detection (SP)
|
100% |
4523
53.7 IPS |
|
|
Face Detection (HP)
|
100% |
41210
489.7 IPS |
|
|
Face Detection (Q)
|
100% |
52170
619.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
8637
66.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
105714
814.5 IPS |
|
|
Depth Estimation (Q)
|
85% |
174645
1.37 KIPS |
|
|
Style Transfer (SP)
|
100% |
25336
32.6 IPS |
|
|
Style Transfer (HP)
|
100% |
260307
334.6 IPS |
|
|
Style Transfer (Q)
|
96% |
352150
454.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5681
209.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
57973
2.14 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
85793
3.17 KIPS |
|
|
Text Classification (SP)
|
100% |
3328
4.44 KIPS |
|
|
Text Classification (HP)
|
99% |
6244
8.33 KIPS |
|
|
Text Classification (Q)
|
93% |
6283
8.43 KIPS |
|
|
Machine Translation (SP)
|
100% |
5199
89.6 IPS |
|
|
Machine Translation (HP)
|
100% |
10933
188.3 IPS |
|
|
Machine Translation (Q)
|
98% |
12080
208.8 IPS |
