iPhone18,2
Geekbench AI Score
9110
Single Precision Score
16568
Half Precision Score
17107
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| User | EPMandBI |
| Upload Date | November 01 2025 09:25 PM |
| Views | 7 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | ARM |
| System Information | |
|---|---|
| Operating System | iOS 26.0.1 |
| Model | iPhone18,2 |
| Model ID | iPhone18,2 |
| Motherboard | V54AP |
| 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 | 11.42 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
4240
788.6 IPS |
|
|
Image Classification (HP)
|
100% |
8179
1.52 KIPS |
|
|
Image Classification (Q)
|
97% |
7426
1.39 KIPS |
|
|
Image Segmentation (SP)
|
100% |
6064
98.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
9505
154.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
10486
170.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
20371
23.8 IPS |
|
|
Pose Estimation (HP)
|
100% |
53994
63.0 IPS |
|
|
Pose Estimation (Q)
|
95% |
59306
69.5 IPS |
|
|
Object Detection (SP)
|
100% |
4404
349.3 IPS |
|
|
Object Detection (HP)
|
100% |
8073
640.3 IPS |
|
|
Object Detection (Q)
|
93% |
8058
642.8 IPS |
|
|
Face Detection (SP)
|
100% |
11693
138.9 IPS |
|
|
Face Detection (HP)
|
100% |
23091
274.4 IPS |
|
|
Face Detection (Q)
|
100% |
17965
213.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
18020
138.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
35095
270.4 IPS |
|
|
Depth Estimation (Q)
|
86% |
38796
302.9 IPS |
|
|
Style Transfer (SP)
|
100% |
43733
56.2 IPS |
|
|
Style Transfer (HP)
|
100% |
96101
123.5 IPS |
|
|
Style Transfer (Q)
|
96% |
120359
155.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
10534
389.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
19132
706.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
22314
823.9 IPS |
|
|
Text Classification (SP)
|
100% |
3525
4.71 KIPS |
|
|
Text Classification (HP)
|
99% |
6458
8.62 KIPS |
|
|
Text Classification (Q)
|
93% |
6385
8.57 KIPS |
|
|
Machine Translation (SP)
|
100% |
4989
85.9 IPS |
|
|
Machine Translation (HP)
|
100% |
4780
82.3 IPS |
|
|
Machine Translation (Q)
|
98% |
4827
83.4 IPS |
