iPhone18,2
Geekbench AI Score
4050
Single Precision Score
6831
Half Precision Score
5275
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | December 05 2025 02:39 AM |
| Views | 1 |
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 | 3.51 GHz |
| Cluster 1 | 2 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 11.34 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2017
375.1 IPS |
|
|
Image Classification (HP)
|
100% |
3085
573.7 IPS |
|
|
Image Classification (Q)
|
96% |
1664
310.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
1575
25.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
2490
40.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
1966
31.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
5601
6.54 IPS |
|
|
Pose Estimation (HP)
|
100% |
10038
11.7 IPS |
|
|
Pose Estimation (Q)
|
95% |
10426
12.2 IPS |
|
|
Object Detection (SP)
|
100% |
1858
147.4 IPS |
|
|
Object Detection (HP)
|
97% |
3080
245.2 IPS |
|
|
Object Detection (Q)
|
94% |
2285
182.1 IPS |
|
|
Face Detection (SP)
|
100% |
3254
38.7 IPS |
|
|
Face Detection (HP)
|
100% |
6898
82.0 IPS |
|
|
Face Detection (Q)
|
100% |
3560
42.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
7331
56.5 IPS |
|
|
Depth Estimation (HP)
|
97% |
11868
91.7 IPS |
|
|
Depth Estimation (Q)
|
86% |
7765
60.6 IPS |
|
|
Style Transfer (SP)
|
100% |
17137
22.0 IPS |
|
|
Style Transfer (HP)
|
100% |
31061
39.9 IPS |
|
|
Style Transfer (Q)
|
96% |
28102
36.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4923
181.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6683
246.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4769
176.1 IPS |
|
|
Text Classification (SP)
|
100% |
3507
4.68 KIPS |
|
|
Text Classification (HP)
|
99% |
6268
8.37 KIPS |
|
|
Text Classification (Q)
|
93% |
6291
8.44 KIPS |
|
|
Machine Translation (SP)
|
100% |
5096
87.8 IPS |
|
|
Machine Translation (HP)
|
98% |
8754
151.3 IPS |
|
|
Machine Translation (Q)
|
98% |
9194
158.9 IPS |
