iPhone18,2
Geekbench AI Score
5102
Single Precision Score
8344
Half Precision Score
6600
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| User | sabin1001 |
| Upload Date | December 22 2025 08:55 PM |
| Views | 4 |
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% |
2317
430.8 IPS |
|
|
Image Classification (HP)
|
100% |
3767
700.5 IPS |
|
|
Image Classification (Q)
|
96% |
2489
464.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
2118
34.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
2966
48.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
3439
55.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
9813
11.4 IPS |
|
|
Pose Estimation (HP)
|
100% |
18727
21.9 IPS |
|
|
Pose Estimation (Q)
|
95% |
15929
18.7 IPS |
|
|
Object Detection (SP)
|
100% |
2514
199.4 IPS |
|
|
Object Detection (HP)
|
97% |
4156
330.9 IPS |
|
|
Object Detection (Q)
|
94% |
2835
226.0 IPS |
|
|
Face Detection (SP)
|
100% |
4515
53.6 IPS |
|
|
Face Detection (HP)
|
100% |
8372
99.5 IPS |
|
|
Face Detection (Q)
|
100% |
4370
51.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
8543
65.8 IPS |
|
|
Depth Estimation (HP)
|
97% |
14348
110.9 IPS |
|
|
Depth Estimation (Q)
|
86% |
10101
78.8 IPS |
|
|
Style Transfer (SP)
|
100% |
24744
31.8 IPS |
|
|
Style Transfer (HP)
|
100% |
38650
49.7 IPS |
|
|
Style Transfer (Q)
|
96% |
31284
40.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5553
205.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6971
257.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5012
185.1 IPS |
|
|
Text Classification (SP)
|
100% |
3525
4.70 KIPS |
|
|
Text Classification (HP)
|
99% |
6414
8.56 KIPS |
|
|
Text Classification (Q)
|
93% |
6382
8.57 KIPS |
|
|
Machine Translation (SP)
|
100% |
5284
91.0 IPS |
|
|
Machine Translation (HP)
|
98% |
9066
156.7 IPS |
|
|
Machine Translation (Q)
|
98% |
9193
158.9 IPS |
