iPhone18,2
Geekbench AI Score
9013
Single Precision Score
16575
Half Precision Score
17028
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | September 19 2025 10:21 PM |
| Views | 1 |
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 | 11.42 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
4194
779.9 IPS |
|
|
Image Classification (HP)
|
100% |
8144
1.51 KIPS |
|
|
Image Classification (Q)
|
97% |
7633
1.42 KIPS |
|
|
Image Segmentation (SP)
|
100% |
6024
97.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
9492
153.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
10477
169.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
20112
23.5 IPS |
|
|
Pose Estimation (HP)
|
100% |
53625
62.6 IPS |
|
|
Pose Estimation (Q)
|
95% |
58171
68.2 IPS |
|
|
Object Detection (SP)
|
100% |
4330
343.4 IPS |
|
|
Object Detection (HP)
|
100% |
8132
645.0 IPS |
|
|
Object Detection (Q)
|
93% |
8135
649.0 IPS |
|
|
Face Detection (SP)
|
100% |
11549
137.2 IPS |
|
|
Face Detection (HP)
|
100% |
22991
273.2 IPS |
|
|
Face Detection (Q)
|
100% |
17856
212.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
17767
136.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
35604
274.3 IPS |
|
|
Depth Estimation (Q)
|
86% |
37792
295.1 IPS |
|
|
Style Transfer (SP)
|
100% |
42991
55.3 IPS |
|
|
Style Transfer (HP)
|
100% |
95513
122.8 IPS |
|
|
Style Transfer (Q)
|
96% |
119117
153.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
10402
384.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
20064
740.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
22626
835.5 IPS |
|
|
Text Classification (SP)
|
100% |
3513
4.69 KIPS |
|
|
Text Classification (HP)
|
99% |
6571
8.77 KIPS |
|
|
Text Classification (Q)
|
93% |
6708
9.00 KIPS |
|
|
Machine Translation (SP)
|
100% |
4990
86.0 IPS |
|
|
Machine Translation (HP)
|
100% |
4506
77.6 IPS |
|
|
Machine Translation (Q)
|
98% |
4439
76.7 IPS |
