iPhone18,2
Geekbench AI Score
5175
Single Precision Score
8463
Half Precision Score
6702
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| User | ChineseGordon |
| Upload Date | October 09 2025 03:35 PM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| 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% |
2334
434.1 IPS |
|
|
Image Classification (HP)
|
100% |
3775
702.1 IPS |
|
|
Image Classification (Q)
|
96% |
2510
468.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
2142
34.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
3051
49.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
3439
55.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
10968
12.8 IPS |
|
|
Pose Estimation (HP)
|
100% |
19675
23.0 IPS |
|
|
Pose Estimation (Q)
|
95% |
16806
19.7 IPS |
|
|
Object Detection (SP)
|
100% |
2617
207.6 IPS |
|
|
Object Detection (HP)
|
97% |
4227
336.5 IPS |
|
|
Object Detection (Q)
|
94% |
2908
231.8 IPS |
|
|
Face Detection (SP)
|
100% |
4591
54.6 IPS |
|
|
Face Detection (HP)
|
100% |
8534
101.4 IPS |
|
|
Face Detection (Q)
|
100% |
4532
53.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
8485
65.4 IPS |
|
|
Depth Estimation (HP)
|
97% |
14436
111.6 IPS |
|
|
Depth Estimation (Q)
|
86% |
10276
80.2 IPS |
|
|
Style Transfer (SP)
|
100% |
25236
32.4 IPS |
|
|
Style Transfer (HP)
|
100% |
38872
50.0 IPS |
|
|
Style Transfer (Q)
|
96% |
32145
41.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5692
210.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
7046
260.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5040
186.1 IPS |
|
|
Text Classification (SP)
|
100% |
3297
4.40 KIPS |
|
|
Text Classification (HP)
|
99% |
6043
8.07 KIPS |
|
|
Text Classification (Q)
|
93% |
6098
8.18 KIPS |
|
|
Machine Translation (SP)
|
100% |
5206
89.7 IPS |
|
|
Machine Translation (HP)
|
98% |
9658
166.9 IPS |
|
|
Machine Translation (Q)
|
98% |
9428
162.9 IPS |
