iPhone18,2
Geekbench AI Score
5099
Single Precision Score
8226
Half Precision Score
6553
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | November 06 2025 06:27 AM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | ARM |
| System Information | |
|---|---|
| Operating System | iOS 26.2 |
| 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% |
2343
435.7 IPS |
|
|
Image Classification (HP)
|
100% |
3750
697.4 IPS |
|
|
Image Classification (Q)
|
96% |
2489
464.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
2121
34.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
3045
49.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
3424
55.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
10211
11.9 IPS |
|
|
Pose Estimation (HP)
|
100% |
18708
21.8 IPS |
|
|
Pose Estimation (Q)
|
95% |
16085
18.9 IPS |
|
|
Object Detection (SP)
|
100% |
2606
206.7 IPS |
|
|
Object Detection (HP)
|
97% |
4183
333.0 IPS |
|
|
Object Detection (Q)
|
94% |
2857
227.7 IPS |
|
|
Face Detection (SP)
|
100% |
4560
54.2 IPS |
|
|
Face Detection (HP)
|
100% |
8388
99.7 IPS |
|
|
Face Detection (Q)
|
100% |
4360
51.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
7738
59.6 IPS |
|
|
Depth Estimation (HP)
|
97% |
12596
97.4 IPS |
|
|
Depth Estimation (Q)
|
86% |
9846
76.8 IPS |
|
|
Style Transfer (SP)
|
100% |
24351
31.3 IPS |
|
|
Style Transfer (HP)
|
100% |
38470
49.5 IPS |
|
|
Style Transfer (Q)
|
96% |
31249
40.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5634
208.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6945
256.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4932
182.1 IPS |
|
|
Text Classification (SP)
|
100% |
3568
4.76 KIPS |
|
|
Text Classification (HP)
|
99% |
5944
7.93 KIPS |
|
|
Text Classification (Q)
|
93% |
5940
7.97 KIPS |
|
|
Machine Translation (SP)
|
100% |
5202
89.6 IPS |
|
|
Machine Translation (HP)
|
98% |
9465
163.5 IPS |
|
|
Machine Translation (Q)
|
98% |
9497
164.1 IPS |
