iPhone18,2
Geekbench AI Score
5021
Single Precision Score
35805
Half Precision Score
49121
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | November 18 2025 07:35 PM |
| Views | 1 |
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 | 11.42 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2322
431.9 IPS |
|
|
Image Classification (HP)
|
100% |
15840
2.95 KIPS |
|
|
Image Classification (Q)
|
97% |
22861
4.27 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2056
33.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
20133
326.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
24941
404.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
10004
11.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
151205
176.4 IPS |
|
|
Pose Estimation (Q)
|
95% |
282155
330.7 IPS |
|
|
Object Detection (SP)
|
100% |
2557
202.8 IPS |
|
|
Object Detection (HP)
|
100% |
17510
1.39 KIPS |
|
|
Object Detection (Q)
|
91% |
24336
1.94 KIPS |
|
|
Face Detection (SP)
|
100% |
4232
50.3 IPS |
|
|
Face Detection (HP)
|
100% |
41198
489.5 IPS |
|
|
Face Detection (Q)
|
100% |
57466
682.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
8280
63.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
104452
804.7 IPS |
|
|
Depth Estimation (Q)
|
85% |
164623
1.29 KIPS |
|
|
Style Transfer (SP)
|
100% |
24055
30.9 IPS |
|
|
Style Transfer (HP)
|
100% |
258439
332.2 IPS |
|
|
Style Transfer (Q)
|
96% |
348438
449.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5368
198.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
55702
2.06 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
84319
3.11 KIPS |
|
|
Text Classification (SP)
|
100% |
3498
4.67 KIPS |
|
|
Text Classification (HP)
|
99% |
6134
8.19 KIPS |
|
|
Text Classification (Q)
|
93% |
6106
8.19 KIPS |
|
|
Machine Translation (SP)
|
100% |
5270
90.8 IPS |
|
|
Machine Translation (HP)
|
100% |
10794
185.9 IPS |
|
|
Machine Translation (Q)
|
98% |
12309
212.7 IPS |
