iPhone18,2
Geekbench AI Score
9054
Single Precision Score
16342
Half Precision Score
16920
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | October 27 2025 10:44 AM |
| Views | 1 |
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% |
4273
794.6 IPS |
|
|
Image Classification (HP)
|
100% |
8005
1.49 KIPS |
|
|
Image Classification (Q)
|
97% |
7436
1.39 KIPS |
|
|
Image Segmentation (SP)
|
100% |
6015
97.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
9552
154.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
10485
170.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
20237
23.6 IPS |
|
|
Pose Estimation (HP)
|
100% |
53523
62.5 IPS |
|
|
Pose Estimation (Q)
|
95% |
58142
68.1 IPS |
|
|
Object Detection (SP)
|
100% |
4380
347.4 IPS |
|
|
Object Detection (HP)
|
100% |
8072
640.3 IPS |
|
|
Object Detection (Q)
|
93% |
8065
643.4 IPS |
|
|
Face Detection (SP)
|
100% |
11592
137.7 IPS |
|
|
Face Detection (HP)
|
100% |
23104
274.5 IPS |
|
|
Face Detection (Q)
|
100% |
17918
212.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
17813
137.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
34703
267.4 IPS |
|
|
Depth Estimation (Q)
|
86% |
37896
295.9 IPS |
|
|
Style Transfer (SP)
|
100% |
43120
55.4 IPS |
|
|
Style Transfer (HP)
|
100% |
95576
122.9 IPS |
|
|
Style Transfer (Q)
|
96% |
119591
154.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
10413
384.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
18480
682.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
22458
829.3 IPS |
|
|
Text Classification (SP)
|
100% |
3532
4.71 KIPS |
|
|
Text Classification (HP)
|
99% |
6079
8.11 KIPS |
|
|
Text Classification (Q)
|
93% |
6088
8.17 KIPS |
|
|
Machine Translation (SP)
|
100% |
4967
85.6 IPS |
|
|
Machine Translation (HP)
|
100% |
4777
82.3 IPS |
|
|
Machine Translation (Q)
|
98% |
4740
81.9 IPS |
