iPhone18,2
Geekbench AI Score
9073
Single Precision Score
16452
Half Precision Score
16976
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | November 03 2025 06:34 AM |
| Views | 6 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | ARM |
| System Information | |
|---|---|
| Operating System | iOS 26.0.1 |
| 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% |
4198
780.7 IPS |
|
|
Image Classification (HP)
|
100% |
7916
1.47 KIPS |
|
|
Image Classification (Q)
|
97% |
7326
1.37 KIPS |
|
|
Image Segmentation (SP)
|
100% |
6107
99.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
9624
156.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
10578
171.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
20311
23.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
53971
63.0 IPS |
|
|
Pose Estimation (Q)
|
95% |
59520
69.8 IPS |
|
|
Object Detection (SP)
|
100% |
4404
349.4 IPS |
|
|
Object Detection (HP)
|
100% |
8075
640.5 IPS |
|
|
Object Detection (Q)
|
93% |
8002
638.4 IPS |
|
|
Face Detection (SP)
|
100% |
11665
138.6 IPS |
|
|
Face Detection (HP)
|
100% |
23107
274.6 IPS |
|
|
Face Detection (Q)
|
100% |
18084
214.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
17981
138.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
35556
273.9 IPS |
|
|
Depth Estimation (Q)
|
86% |
38273
298.8 IPS |
|
|
Style Transfer (SP)
|
100% |
43830
56.3 IPS |
|
|
Style Transfer (HP)
|
100% |
96451
124.0 IPS |
|
|
Style Transfer (Q)
|
96% |
120235
155.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
10407
384.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
18698
690.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
22273
822.5 IPS |
|
|
Text Classification (SP)
|
100% |
3291
4.39 KIPS |
|
|
Text Classification (HP)
|
99% |
6115
8.16 KIPS |
|
|
Text Classification (Q)
|
93% |
6098
8.18 KIPS |
|
|
Machine Translation (SP)
|
100% |
5236
90.2 IPS |
|
|
Machine Translation (HP)
|
100% |
4830
83.2 IPS |
|
|
Machine Translation (Q)
|
98% |
4765
82.3 IPS |
