iPhone18,2
Geekbench AI Score
2143
Single Precision Score
3456
Half Precision Score
2687
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| User | Xabla |
| Upload Date | October 26 2025 12:37 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 | 1.61 GHz |
| Cluster 1 | 2 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 11.42 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
935
173.9 IPS |
|
|
Image Classification (HP)
|
100% |
1465
272.4 IPS |
|
|
Image Classification (Q)
|
96% |
954
178.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
954
15.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
1327
21.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
1382
22.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
4532
5.29 IPS |
|
|
Pose Estimation (HP)
|
100% |
8078
9.43 IPS |
|
|
Pose Estimation (Q)
|
95% |
6873
8.06 IPS |
|
|
Object Detection (SP)
|
100% |
1100
87.3 IPS |
|
|
Object Detection (HP)
|
97% |
1680
133.8 IPS |
|
|
Object Detection (Q)
|
94% |
1137
90.6 IPS |
|
|
Face Detection (SP)
|
100% |
1790
21.3 IPS |
|
|
Face Detection (HP)
|
100% |
3332
39.6 IPS |
|
|
Face Detection (Q)
|
100% |
1736
20.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
3657
28.2 IPS |
|
|
Depth Estimation (HP)
|
97% |
6036
46.7 IPS |
|
|
Depth Estimation (Q)
|
86% |
4165
32.5 IPS |
|
|
Style Transfer (SP)
|
100% |
10217
13.1 IPS |
|
|
Style Transfer (HP)
|
100% |
15913
20.5 IPS |
|
|
Style Transfer (Q)
|
96% |
12922
16.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2356
87.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2946
108.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
2080
76.8 IPS |
|
|
Text Classification (SP)
|
100% |
1385
1.85 KIPS |
|
|
Text Classification (HP)
|
99% |
2496
3.33 KIPS |
|
|
Text Classification (Q)
|
93% |
2495
3.35 KIPS |
|
|
Machine Translation (SP)
|
100% |
2107
36.3 IPS |
|
|
Machine Translation (HP)
|
98% |
3917
67.7 IPS |
|
|
Machine Translation (Q)
|
98% |
3940
68.1 IPS |
