iPhone18,2
Geekbench AI Score
9028
Single Precision Score
16482
Half Precision Score
17022
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| User | DFW |
| Upload Date | September 20 2025 01:25 AM |
| Views | 2 |
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% |
4234
787.4 IPS |
|
|
Image Classification (HP)
|
100% |
8115
1.51 KIPS |
|
|
Image Classification (Q)
|
97% |
7689
1.43 KIPS |
|
|
Image Segmentation (SP)
|
100% |
5949
96.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
9460
153.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
10467
169.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
20073
23.4 IPS |
|
|
Pose Estimation (HP)
|
100% |
53061
61.9 IPS |
|
|
Pose Estimation (Q)
|
95% |
57906
67.9 IPS |
|
|
Object Detection (SP)
|
100% |
4363
346.1 IPS |
|
|
Object Detection (HP)
|
100% |
8227
652.6 IPS |
|
|
Object Detection (Q)
|
93% |
8127
648.4 IPS |
|
|
Face Detection (SP)
|
100% |
11520
136.9 IPS |
|
|
Face Detection (HP)
|
100% |
22830
271.3 IPS |
|
|
Face Detection (Q)
|
100% |
17849
212.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
17787
137.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
35216
271.3 IPS |
|
|
Depth Estimation (Q)
|
86% |
37853
295.5 IPS |
|
|
Style Transfer (SP)
|
100% |
43150
55.5 IPS |
|
|
Style Transfer (HP)
|
100% |
94055
120.9 IPS |
|
|
Style Transfer (Q)
|
96% |
118423
152.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
10402
384.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
19240
710.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
22272
822.4 IPS |
|
|
Text Classification (SP)
|
100% |
3456
4.61 KIPS |
|
|
Text Classification (HP)
|
99% |
6374
8.51 KIPS |
|
|
Text Classification (Q)
|
93% |
6300
8.46 KIPS |
|
|
Machine Translation (SP)
|
100% |
5131
88.4 IPS |
|
|
Machine Translation (HP)
|
100% |
4761
82.0 IPS |
|
|
Machine Translation (Q)
|
98% |
4805
83.0 IPS |
