iPhone18,2
Geekbench AI Score
5208
Single Precision Score
8442
Half Precision Score
6698
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | October 07 2025 10:29 PM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | ARM |
| System Information | |
|---|---|
| Operating System | iOS 26.1 |
| Model | iPhone18,2 |
| Model ID | iPhone18,2 |
| Motherboard | V54AP |
| 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 | 11.42 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2326
432.5 IPS |
|
|
Image Classification (HP)
|
100% |
3792
705.2 IPS |
|
|
Image Classification (Q)
|
96% |
2503
467.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
2152
34.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
3034
49.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
3440
55.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
10878
12.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
19818
23.1 IPS |
|
|
Pose Estimation (Q)
|
95% |
16786
19.7 IPS |
|
|
Object Detection (SP)
|
100% |
2675
212.2 IPS |
|
|
Object Detection (HP)
|
97% |
4224
336.3 IPS |
|
|
Object Detection (Q)
|
94% |
2921
232.8 IPS |
|
|
Face Detection (SP)
|
100% |
4713
56.0 IPS |
|
|
Face Detection (HP)
|
100% |
8552
101.6 IPS |
|
|
Face Detection (Q)
|
100% |
4511
53.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
8608
66.3 IPS |
|
|
Depth Estimation (HP)
|
97% |
14511
112.2 IPS |
|
|
Depth Estimation (Q)
|
86% |
10252
80.0 IPS |
|
|
Style Transfer (SP)
|
100% |
25307
32.5 IPS |
|
|
Style Transfer (HP)
|
100% |
39460
50.7 IPS |
|
|
Style Transfer (Q)
|
96% |
32483
41.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5676
209.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6947
256.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4989
184.2 IPS |
|
|
Text Classification (SP)
|
100% |
3287
4.39 KIPS |
|
|
Text Classification (HP)
|
99% |
5961
7.96 KIPS |
|
|
Text Classification (Q)
|
93% |
5967
8.01 KIPS |
|
|
Machine Translation (SP)
|
100% |
5271
90.8 IPS |
|
|
Machine Translation (HP)
|
98% |
9418
162.7 IPS |
|
|
Machine Translation (Q)
|
98% |
9635
166.5 IPS |
