iPhone18,2
Geekbench AI Score
5231
Single Precision Score
36464
Half Precision Score
49150
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| User | anbG34 |
| Upload Date | December 29 2025 06:55 AM |
| Views | 15 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| 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 | 11.34 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2342
435.5 IPS |
|
|
Image Classification (HP)
|
100% |
16341
3.04 KIPS |
|
|
Image Classification (Q)
|
97% |
21427
4.00 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2205
35.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
20167
326.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
25385
411.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
10888
12.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
160431
187.2 IPS |
|
|
Pose Estimation (Q)
|
95% |
297190
348.3 IPS |
|
|
Object Detection (SP)
|
100% |
2697
213.9 IPS |
|
|
Object Detection (HP)
|
100% |
18366
1.46 KIPS |
|
|
Object Detection (Q)
|
91% |
25576
2.04 KIPS |
|
|
Face Detection (SP)
|
100% |
4663
55.4 IPS |
|
|
Face Detection (HP)
|
100% |
41279
490.5 IPS |
|
|
Face Detection (Q)
|
100% |
54462
647.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
8583
66.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
105270
811.0 IPS |
|
|
Depth Estimation (Q)
|
85% |
168171
1.31 KIPS |
|
|
Style Transfer (SP)
|
100% |
25263
32.5 IPS |
|
|
Style Transfer (HP)
|
100% |
259075
333.0 IPS |
|
|
Style Transfer (Q)
|
96% |
352504
454.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5765
212.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
57379
2.12 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
84818
3.13 KIPS |
|
|
Text Classification (SP)
|
100% |
3260
4.35 KIPS |
|
|
Text Classification (HP)
|
99% |
6078
8.11 KIPS |
|
|
Text Classification (Q)
|
93% |
5989
8.04 KIPS |
|
|
Machine Translation (SP)
|
100% |
5326
91.7 IPS |
|
|
Machine Translation (HP)
|
100% |
10903
187.8 IPS |
|
|
Machine Translation (Q)
|
98% |
12135
209.7 IPS |
