iPhone18,2
Geekbench AI Score
5062
Single Precision Score
35740
Half Precision Score
48808
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | November 13 2025 05:50 PM |
| Views | 2 |
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% |
2223
413.5 IPS |
|
|
Image Classification (HP)
|
100% |
16075
2.99 KIPS |
|
|
Image Classification (Q)
|
97% |
21353
3.98 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2072
33.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
19839
321.6 IPS |
|
|
Image Segmentation (Q)
|
99% |
25808
418.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
10195
11.9 IPS |
|
|
Pose Estimation (HP)
|
100% |
154947
180.8 IPS |
|
|
Pose Estimation (Q)
|
95% |
294010
344.6 IPS |
|
|
Object Detection (SP)
|
100% |
2660
211.0 IPS |
|
|
Object Detection (HP)
|
100% |
17301
1.37 KIPS |
|
|
Object Detection (Q)
|
91% |
24970
2.00 KIPS |
|
|
Face Detection (SP)
|
100% |
4522
53.7 IPS |
|
|
Face Detection (HP)
|
100% |
40904
486.0 IPS |
|
|
Face Detection (Q)
|
100% |
53842
639.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
8394
64.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
105095
809.7 IPS |
|
|
Depth Estimation (Q)
|
85% |
159686
1.25 KIPS |
|
|
Style Transfer (SP)
|
100% |
24457
31.4 IPS |
|
|
Style Transfer (HP)
|
100% |
257397
330.9 IPS |
|
|
Style Transfer (Q)
|
96% |
351553
453.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5518
203.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
55895
2.06 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
84038
3.10 KIPS |
|
|
Text Classification (SP)
|
100% |
3306
4.41 KIPS |
|
|
Text Classification (HP)
|
99% |
5928
7.91 KIPS |
|
|
Text Classification (Q)
|
93% |
6136
8.23 KIPS |
|
|
Machine Translation (SP)
|
100% |
5227
90.0 IPS |
|
|
Machine Translation (HP)
|
100% |
10851
186.9 IPS |
|
|
Machine Translation (Q)
|
98% |
12167
210.3 IPS |
