iPhone18,2
Geekbench AI Score
9092
Single Precision Score
16587
Half Precision Score
17050
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| User | JTechEV22 |
| Upload Date | November 01 2025 06:30 PM |
| Views | 6 |
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% |
4254
791.2 IPS |
|
|
Image Classification (HP)
|
100% |
8106
1.51 KIPS |
|
|
Image Classification (Q)
|
97% |
7492
1.40 KIPS |
|
|
Image Segmentation (SP)
|
100% |
6073
98.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
9543
154.7 IPS |
|
|
Image Segmentation (Q)
|
99% |
10562
171.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
20284
23.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
53956
63.0 IPS |
|
|
Pose Estimation (Q)
|
95% |
56306
66.0 IPS |
|
|
Object Detection (SP)
|
100% |
4383
347.6 IPS |
|
|
Object Detection (HP)
|
100% |
8064
639.6 IPS |
|
|
Object Detection (Q)
|
93% |
8123
648.0 IPS |
|
|
Face Detection (SP)
|
100% |
11550
137.2 IPS |
|
|
Face Detection (HP)
|
100% |
23047
273.9 IPS |
|
|
Face Detection (Q)
|
100% |
17685
210.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
17953
138.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
35367
272.5 IPS |
|
|
Depth Estimation (Q)
|
86% |
38189
298.2 IPS |
|
|
Style Transfer (SP)
|
100% |
43682
56.2 IPS |
|
|
Style Transfer (HP)
|
100% |
95841
123.2 IPS |
|
|
Style Transfer (Q)
|
96% |
120215
155.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
10516
388.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
19364
715.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
22352
825.3 IPS |
|
|
Text Classification (SP)
|
100% |
3531
4.71 KIPS |
|
|
Text Classification (HP)
|
99% |
6501
8.68 KIPS |
|
|
Text Classification (Q)
|
93% |
6653
8.93 KIPS |
|
|
Machine Translation (SP)
|
100% |
4997
86.1 IPS |
|
|
Machine Translation (HP)
|
100% |
4765
82.1 IPS |
|
|
Machine Translation (Q)
|
98% |
4752
82.1 IPS |
