iPhone18,2
Geekbench AI Score
5015
Single Precision Score
8185
Half Precision Score
6448
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| User | LESSERAFIM |
| Upload Date | September 19 2025 04:29 PM |
| 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 | 4.19 GHz |
| Cluster 1 | 2 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 11.42 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2298
427.4 IPS |
|
|
Image Classification (HP)
|
100% |
3688
685.9 IPS |
|
|
Image Classification (Q)
|
96% |
2451
457.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
2042
33.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
2926
47.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
3364
54.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
9785
11.4 IPS |
|
|
Pose Estimation (HP)
|
100% |
17792
20.8 IPS |
|
|
Pose Estimation (Q)
|
95% |
15395
18.0 IPS |
|
|
Object Detection (SP)
|
100% |
2500
198.3 IPS |
|
|
Object Detection (HP)
|
97% |
4039
321.5 IPS |
|
|
Object Detection (Q)
|
94% |
2741
218.5 IPS |
|
|
Face Detection (SP)
|
100% |
4454
52.9 IPS |
|
|
Face Detection (HP)
|
100% |
8131
96.6 IPS |
|
|
Face Detection (Q)
|
100% |
4142
49.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
8219
63.3 IPS |
|
|
Depth Estimation (HP)
|
97% |
13876
107.3 IPS |
|
|
Depth Estimation (Q)
|
86% |
9781
76.3 IPS |
|
|
Style Transfer (SP)
|
100% |
23608
30.3 IPS |
|
|
Style Transfer (HP)
|
100% |
36749
47.2 IPS |
|
|
Style Transfer (Q)
|
96% |
30463
39.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5378
198.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6722
248.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4916
181.5 IPS |
|
|
Text Classification (SP)
|
100% |
3558
4.75 KIPS |
|
|
Text Classification (HP)
|
99% |
6498
8.67 KIPS |
|
|
Text Classification (Q)
|
93% |
6271
8.42 KIPS |
|
|
Machine Translation (SP)
|
100% |
5302
91.3 IPS |
|
|
Machine Translation (HP)
|
98% |
9617
166.2 IPS |
|
|
Machine Translation (Q)
|
98% |
9393
162.3 IPS |
