iPhone18,2
Geekbench AI Score
9080
Single Precision Score
16873
Half Precision Score
17459
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| User | shafnitz |
| Upload Date | November 08 2025 03:59 AM |
| Views | 5 |
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% |
4307
801.0 IPS |
|
|
Image Classification (HP)
|
100% |
8109
1.51 KIPS |
|
|
Image Classification (Q)
|
97% |
7553
1.41 KIPS |
|
|
Image Segmentation (SP)
|
100% |
6072
98.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
9545
154.7 IPS |
|
|
Image Segmentation (Q)
|
99% |
10613
172.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
20210
23.6 IPS |
|
|
Pose Estimation (HP)
|
100% |
53805
62.8 IPS |
|
|
Pose Estimation (Q)
|
95% |
58222
68.2 IPS |
|
|
Object Detection (SP)
|
100% |
4410
349.8 IPS |
|
|
Object Detection (HP)
|
100% |
8083
641.2 IPS |
|
|
Object Detection (Q)
|
93% |
8089
645.3 IPS |
|
|
Face Detection (SP)
|
100% |
11770
139.9 IPS |
|
|
Face Detection (HP)
|
100% |
23111
274.6 IPS |
|
|
Face Detection (Q)
|
100% |
17961
213.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
17863
137.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
35362
272.4 IPS |
|
|
Depth Estimation (Q)
|
86% |
38518
300.7 IPS |
|
|
Style Transfer (SP)
|
100% |
43120
55.4 IPS |
|
|
Style Transfer (HP)
|
100% |
96043
123.5 IPS |
|
|
Style Transfer (Q)
|
96% |
119102
153.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
10407
384.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
18501
683.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
22306
823.7 IPS |
|
|
Text Classification (SP)
|
100% |
3538
4.72 KIPS |
|
|
Text Classification (HP)
|
99% |
6391
8.53 KIPS |
|
|
Text Classification (Q)
|
93% |
6356
8.53 KIPS |
|
|
Machine Translation (SP)
|
100% |
4897
84.4 IPS |
|
|
Machine Translation (HP)
|
100% |
5987
103.1 IPS |
|
|
Machine Translation (Q)
|
98% |
5967
103.1 IPS |
