iPhone18,2
Geekbench AI Score
5160
Single Precision Score
8435
Half Precision Score
6630
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | September 20 2025 12:30 AM |
| Views | 1 |
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% |
2349
436.8 IPS |
|
|
Image Classification (HP)
|
100% |
3675
683.5 IPS |
|
|
Image Classification (Q)
|
96% |
2488
464.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
2135
34.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
3089
50.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
3433
55.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
10378
12.1 IPS |
|
|
Pose Estimation (HP)
|
100% |
19063
22.2 IPS |
|
|
Pose Estimation (Q)
|
95% |
16158
18.9 IPS |
|
|
Object Detection (SP)
|
100% |
2666
211.5 IPS |
|
|
Object Detection (HP)
|
97% |
4138
329.4 IPS |
|
|
Object Detection (Q)
|
94% |
2838
226.2 IPS |
|
|
Face Detection (SP)
|
100% |
4653
55.3 IPS |
|
|
Face Detection (HP)
|
100% |
8451
100.4 IPS |
|
|
Face Detection (Q)
|
100% |
4410
52.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
8514
65.6 IPS |
|
|
Depth Estimation (HP)
|
97% |
14216
109.9 IPS |
|
|
Depth Estimation (Q)
|
86% |
10071
78.6 IPS |
|
|
Style Transfer (SP)
|
100% |
24779
31.9 IPS |
|
|
Style Transfer (HP)
|
100% |
38874
50.0 IPS |
|
|
Style Transfer (Q)
|
96% |
31945
41.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5692
210.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
7065
260.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5041
186.1 IPS |
|
|
Text Classification (SP)
|
100% |
3261
4.35 KIPS |
|
|
Text Classification (HP)
|
99% |
6257
8.35 KIPS |
|
|
Text Classification (Q)
|
93% |
6122
8.22 KIPS |
|
|
Machine Translation (SP)
|
100% |
5298
91.3 IPS |
|
|
Machine Translation (HP)
|
98% |
9867
170.5 IPS |
|
|
Machine Translation (Q)
|
98% |
9571
165.4 IPS |
