iPhone18,2
Geekbench AI Score
4972
Single Precision Score
35966
Half Precision Score
49243
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | December 14 2025 08:21 AM |
| Views | 4 |
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% |
2314
430.3 IPS |
|
|
Image Classification (HP)
|
100% |
16310
3.03 KIPS |
|
|
Image Classification (Q)
|
97% |
22090
4.12 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2097
34.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
19439
315.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
23662
383.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
9531
11.1 IPS |
|
|
Pose Estimation (HP)
|
100% |
149015
173.9 IPS |
|
|
Pose Estimation (Q)
|
95% |
283289
332.0 IPS |
|
|
Object Detection (SP)
|
100% |
2485
197.1 IPS |
|
|
Object Detection (HP)
|
100% |
17326
1.37 KIPS |
|
|
Object Detection (Q)
|
91% |
25495
2.04 KIPS |
|
|
Face Detection (SP)
|
100% |
4127
49.0 IPS |
|
|
Face Detection (HP)
|
100% |
41211
489.7 IPS |
|
|
Face Detection (Q)
|
100% |
56087
666.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
8231
63.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
104336
803.8 IPS |
|
|
Depth Estimation (Q)
|
85% |
162139
1.27 KIPS |
|
|
Style Transfer (SP)
|
100% |
24013
30.9 IPS |
|
|
Style Transfer (HP)
|
100% |
256855
330.2 IPS |
|
|
Style Transfer (Q)
|
96% |
349690
451.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5330
196.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
56842
2.10 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
85777
3.17 KIPS |
|
|
Text Classification (SP)
|
100% |
3516
4.69 KIPS |
|
|
Text Classification (HP)
|
99% |
6395
8.54 KIPS |
|
|
Text Classification (Q)
|
93% |
6517
8.75 KIPS |
|
|
Machine Translation (SP)
|
100% |
5262
90.6 IPS |
|
|
Machine Translation (HP)
|
100% |
11022
189.9 IPS |
|
|
Machine Translation (Q)
|
98% |
12495
215.9 IPS |
