iPhone18,1
Geekbench AI Score
5060
Single Precision Score
36092
Half Precision Score
49533
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| User | homee313 |
| Upload Date | December 19 2025 09:03 PM |
| Views | 6 |
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% |
2312
430.0 IPS |
|
|
Image Classification (HP)
|
100% |
16702
3.11 KIPS |
|
|
Image Classification (Q)
|
97% |
21564
4.02 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2080
33.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
19445
315.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
24874
403.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
9574
11.2 IPS |
|
|
Pose Estimation (HP)
|
100% |
149761
174.7 IPS |
|
|
Pose Estimation (Q)
|
95% |
285059
334.1 IPS |
|
|
Object Detection (SP)
|
100% |
2581
204.7 IPS |
|
|
Object Detection (HP)
|
100% |
17498
1.39 KIPS |
|
|
Object Detection (Q)
|
91% |
25119
2.01 KIPS |
|
|
Face Detection (SP)
|
100% |
4497
53.4 IPS |
|
|
Face Detection (HP)
|
100% |
40779
484.5 IPS |
|
|
Face Detection (Q)
|
100% |
56063
666.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
8379
64.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
104858
807.9 IPS |
|
|
Depth Estimation (Q)
|
85% |
169510
1.33 KIPS |
|
|
Style Transfer (SP)
|
100% |
24347
31.3 IPS |
|
|
Style Transfer (HP)
|
100% |
256466
329.7 IPS |
|
|
Style Transfer (Q)
|
96% |
350955
452.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5377
198.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
55823
2.06 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
85623
3.16 KIPS |
|
|
Text Classification (SP)
|
100% |
3543
4.73 KIPS |
|
|
Text Classification (HP)
|
99% |
6575
8.78 KIPS |
|
|
Text Classification (Q)
|
93% |
6493
8.71 KIPS |
|
|
Machine Translation (SP)
|
100% |
5306
91.4 IPS |
|
|
Machine Translation (HP)
|
100% |
10951
188.6 IPS |
|
|
Machine Translation (Q)
|
98% |
12486
215.8 IPS |
