iPhone18,2
Geekbench AI Score
5195
Single Precision Score
8464
Half Precision Score
6692
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | September 22 2025 11:01 PM |
| Views | 4 |
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% |
2333
433.9 IPS |
|
|
Image Classification (HP)
|
100% |
3763
699.8 IPS |
|
|
Image Classification (Q)
|
96% |
2500
466.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
2089
33.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
3093
50.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
3510
56.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
10694
12.5 IPS |
|
|
Pose Estimation (HP)
|
100% |
19673
23.0 IPS |
|
|
Pose Estimation (Q)
|
95% |
16785
19.7 IPS |
|
|
Object Detection (SP)
|
100% |
2682
212.8 IPS |
|
|
Object Detection (HP)
|
97% |
4211
335.2 IPS |
|
|
Object Detection (Q)
|
94% |
2896
230.9 IPS |
|
|
Face Detection (SP)
|
100% |
4669
55.5 IPS |
|
|
Face Detection (HP)
|
100% |
8506
101.1 IPS |
|
|
Face Detection (Q)
|
100% |
4510
53.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
8634
66.5 IPS |
|
|
Depth Estimation (HP)
|
97% |
14506
112.1 IPS |
|
|
Depth Estimation (Q)
|
86% |
10253
80.0 IPS |
|
|
Style Transfer (SP)
|
100% |
25446
32.7 IPS |
|
|
Style Transfer (HP)
|
100% |
38710
49.8 IPS |
|
|
Style Transfer (Q)
|
96% |
32162
41.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5670
209.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6920
255.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5028
185.7 IPS |
|
|
Text Classification (SP)
|
100% |
3292
4.39 KIPS |
|
|
Text Classification (HP)
|
99% |
6188
8.26 KIPS |
|
|
Text Classification (Q)
|
93% |
5924
7.95 KIPS |
|
|
Machine Translation (SP)
|
100% |
5358
92.3 IPS |
|
|
Machine Translation (HP)
|
98% |
9571
165.4 IPS |
|
|
Machine Translation (Q)
|
98% |
9545
165.0 IPS |
