iPhone18,2
Geekbench AI Score
9101
Single Precision Score
16355
Half Precision Score
17004
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | September 13 2025 12:10 PM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | ARM |
| System Information | |
|---|---|
| Operating System | iOS 26.0 |
| 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% |
4281
796.1 IPS |
|
|
Image Classification (HP)
|
100% |
8047
1.50 KIPS |
|
|
Image Classification (Q)
|
97% |
7396
1.38 KIPS |
|
|
Image Segmentation (SP)
|
100% |
6075
98.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
9572
155.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
10548
171.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
20346
23.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
53984
63.0 IPS |
|
|
Pose Estimation (Q)
|
95% |
58705
68.8 IPS |
|
|
Object Detection (SP)
|
100% |
4405
349.4 IPS |
|
|
Object Detection (HP)
|
100% |
8072
640.3 IPS |
|
|
Object Detection (Q)
|
93% |
8044
641.7 IPS |
|
|
Face Detection (SP)
|
100% |
11815
140.4 IPS |
|
|
Face Detection (HP)
|
100% |
23101
274.5 IPS |
|
|
Face Detection (Q)
|
100% |
17967
213.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
18098
139.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
35366
272.5 IPS |
|
|
Depth Estimation (Q)
|
86% |
39024
304.7 IPS |
|
|
Style Transfer (SP)
|
100% |
43891
56.4 IPS |
|
|
Style Transfer (HP)
|
100% |
95767
123.1 IPS |
|
|
Style Transfer (Q)
|
96% |
119737
154.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
10415
384.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
18816
694.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
22294
823.2 IPS |
|
|
Text Classification (SP)
|
100% |
3501
4.67 KIPS |
|
|
Text Classification (HP)
|
99% |
6012
8.02 KIPS |
|
|
Text Classification (Q)
|
93% |
6035
8.10 KIPS |
|
|
Machine Translation (SP)
|
100% |
4892
84.3 IPS |
|
|
Machine Translation (HP)
|
100% |
4611
79.4 IPS |
|
|
Machine Translation (Q)
|
98% |
4858
84.0 IPS |
