iPhone18,2
Geekbench AI Score
5062
Single Precision Score
8299
Half Precision Score
6460
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| User | SrgntK66 |
| Upload Date | September 29 2025 07:45 AM |
| Views | 9 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | ARM |
| System Information | |
|---|---|
| Operating System | iOS 26.0 |
| 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% |
2305
428.7 IPS |
|
|
Image Classification (HP)
|
100% |
3712
690.4 IPS |
|
|
Image Classification (Q)
|
96% |
2407
449.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
2126
34.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
3015
48.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
3422
55.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
10206
11.9 IPS |
|
|
Pose Estimation (HP)
|
100% |
18536
21.6 IPS |
|
|
Pose Estimation (Q)
|
95% |
15588
18.3 IPS |
|
|
Object Detection (SP)
|
100% |
2516
199.6 IPS |
|
|
Object Detection (HP)
|
97% |
4098
326.2 IPS |
|
|
Object Detection (Q)
|
94% |
2750
219.2 IPS |
|
|
Face Detection (SP)
|
100% |
4314
51.3 IPS |
|
|
Face Detection (HP)
|
100% |
8215
97.6 IPS |
|
|
Face Detection (Q)
|
100% |
4169
49.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
8349
64.3 IPS |
|
|
Depth Estimation (HP)
|
97% |
13951
107.8 IPS |
|
|
Depth Estimation (Q)
|
86% |
9779
76.3 IPS |
|
|
Style Transfer (SP)
|
100% |
24006
30.9 IPS |
|
|
Style Transfer (HP)
|
100% |
37591
48.3 IPS |
|
|
Style Transfer (Q)
|
96% |
30555
39.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5405
199.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6985
257.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4818
177.9 IPS |
|
|
Text Classification (SP)
|
100% |
3569
4.76 KIPS |
|
|
Text Classification (HP)
|
99% |
6550
8.74 KIPS |
|
|
Text Classification (Q)
|
93% |
6399
8.59 KIPS |
|
|
Machine Translation (SP)
|
100% |
5269
90.8 IPS |
|
|
Machine Translation (HP)
|
98% |
9256
159.9 IPS |
|
|
Machine Translation (Q)
|
98% |
9348
161.5 IPS |
