iPhone18,2
Geekbench AI Score
9117
Single Precision Score
16849
Half Precision Score
17471
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | November 11 2025 07:17 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| 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 | 4.26 GHz |
| Cluster 1 | 2 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 11.42 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
4302
800.0 IPS |
|
|
Image Classification (HP)
|
100% |
8017
1.49 KIPS |
|
|
Image Classification (Q)
|
97% |
7486
1.40 KIPS |
|
|
Image Segmentation (SP)
|
100% |
6071
98.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
9530
154.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
10517
170.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
20349
23.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
53974
63.0 IPS |
|
|
Pose Estimation (Q)
|
95% |
58937
69.1 IPS |
|
|
Object Detection (SP)
|
100% |
4406
349.5 IPS |
|
|
Object Detection (HP)
|
100% |
8080
640.9 IPS |
|
|
Object Detection (Q)
|
93% |
8043
641.7 IPS |
|
|
Face Detection (SP)
|
100% |
11710
139.1 IPS |
|
|
Face Detection (HP)
|
100% |
23141
275.0 IPS |
|
|
Face Detection (Q)
|
100% |
17973
213.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
17923
138.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
35194
271.1 IPS |
|
|
Depth Estimation (Q)
|
86% |
38553
301.0 IPS |
|
|
Style Transfer (SP)
|
100% |
43958
56.5 IPS |
|
|
Style Transfer (HP)
|
100% |
95571
122.9 IPS |
|
|
Style Transfer (Q)
|
96% |
119755
154.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
10414
384.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
18689
690.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
22473
829.8 IPS |
|
|
Text Classification (SP)
|
100% |
3467
4.63 KIPS |
|
|
Text Classification (HP)
|
99% |
6426
8.58 KIPS |
|
|
Text Classification (Q)
|
93% |
6402
8.59 KIPS |
|
|
Machine Translation (SP)
|
100% |
5092
87.7 IPS |
|
|
Machine Translation (HP)
|
100% |
5923
102.0 IPS |
|
|
Machine Translation (Q)
|
98% |
5948
102.8 IPS |
