iPhone18,2
Geekbench AI Score
5107
Single Precision Score
36203
Half Precision Score
49416
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| User | Esq255 |
| Upload Date | October 03 2025 02:50 AM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | ARM |
| System Information | |
|---|---|
| Operating System | iOS 26.1 |
| 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% |
2380
442.5 IPS |
|
|
Image Classification (HP)
|
100% |
16345
3.04 KIPS |
|
|
Image Classification (Q)
|
97% |
22359
4.17 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2142
34.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
19664
318.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
24480
396.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
9966
11.6 IPS |
|
|
Pose Estimation (HP)
|
100% |
156492
182.6 IPS |
|
|
Pose Estimation (Q)
|
95% |
286033
335.2 IPS |
|
|
Object Detection (SP)
|
100% |
2589
205.3 IPS |
|
|
Object Detection (HP)
|
100% |
17326
1.37 KIPS |
|
|
Object Detection (Q)
|
91% |
25612
2.05 KIPS |
|
|
Face Detection (SP)
|
100% |
4476
53.2 IPS |
|
|
Face Detection (HP)
|
100% |
41117
488.6 IPS |
|
|
Face Detection (Q)
|
100% |
53524
636.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
8493
65.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
105465
812.5 IPS |
|
|
Depth Estimation (Q)
|
85% |
173453
1.36 KIPS |
|
|
Style Transfer (SP)
|
100% |
23791
30.6 IPS |
|
|
Style Transfer (HP)
|
100% |
258186
331.9 IPS |
|
|
Style Transfer (Q)
|
96% |
350463
452.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5484
202.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
56506
2.09 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
84184
3.11 KIPS |
|
|
Text Classification (SP)
|
100% |
3530
4.71 KIPS |
|
|
Text Classification (HP)
|
99% |
6345
8.47 KIPS |
|
|
Text Classification (Q)
|
93% |
6317
8.48 KIPS |
|
|
Machine Translation (SP)
|
100% |
5250
90.4 IPS |
|
|
Machine Translation (HP)
|
100% |
11057
190.5 IPS |
|
|
Machine Translation (Q)
|
98% |
12516
216.3 IPS |
