iPhone18,2
Geekbench AI Score
9015
Single Precision Score
16427
Half Precision Score
16995
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| User | KokomiCat |
| Upload Date | October 31 2025 06:57 PM |
| Views | 5 |
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 | 4.10 GHz |
| Cluster 1 | 2 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 11.42 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
4230
786.6 IPS |
|
|
Image Classification (HP)
|
100% |
7974
1.48 KIPS |
|
|
Image Classification (Q)
|
97% |
7582
1.41 KIPS |
|
|
Image Segmentation (SP)
|
100% |
5979
96.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
9414
152.6 IPS |
|
|
Image Segmentation (Q)
|
99% |
10471
169.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
20001
23.3 IPS |
|
|
Pose Estimation (HP)
|
100% |
53074
61.9 IPS |
|
|
Pose Estimation (Q)
|
95% |
57564
67.5 IPS |
|
|
Object Detection (SP)
|
100% |
4233
335.7 IPS |
|
|
Object Detection (HP)
|
100% |
8285
657.2 IPS |
|
|
Object Detection (Q)
|
93% |
8036
641.1 IPS |
|
|
Face Detection (SP)
|
100% |
11708
139.1 IPS |
|
|
Face Detection (HP)
|
100% |
23085
274.3 IPS |
|
|
Face Detection (Q)
|
100% |
17960
213.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
17840
137.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
35638
274.6 IPS |
|
|
Depth Estimation (Q)
|
86% |
38341
299.4 IPS |
|
|
Style Transfer (SP)
|
100% |
43100
55.4 IPS |
|
|
Style Transfer (HP)
|
100% |
94293
121.2 IPS |
|
|
Style Transfer (Q)
|
96% |
118963
153.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
10401
384.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
18475
682.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
22169
818.6 IPS |
|
|
Text Classification (SP)
|
100% |
3558
4.75 KIPS |
|
|
Text Classification (HP)
|
99% |
6313
8.43 KIPS |
|
|
Text Classification (Q)
|
93% |
6281
8.43 KIPS |
|
|
Machine Translation (SP)
|
100% |
4975
85.7 IPS |
|
|
Machine Translation (HP)
|
100% |
4793
82.6 IPS |
|
|
Machine Translation (Q)
|
98% |
4801
83.0 IPS |
