iPhone18,2
Geekbench AI Score
5139
Single Precision Score
8341
Half Precision Score
6600
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| User | redgreen |
| Upload Date | October 15 2025 03:39 PM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| 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 | 4.25 GHz |
| Cluster 1 | 2 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 11.42 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2334
434.0 IPS |
|
|
Image Classification (HP)
|
100% |
3703
688.6 IPS |
|
|
Image Classification (Q)
|
96% |
2458
458.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
2101
34.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
3041
49.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
3435
55.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
10883
12.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
19259
22.5 IPS |
|
|
Pose Estimation (Q)
|
95% |
16443
19.3 IPS |
|
|
Object Detection (SP)
|
100% |
2660
211.0 IPS |
|
|
Object Detection (HP)
|
97% |
4137
329.4 IPS |
|
|
Object Detection (Q)
|
94% |
2872
228.9 IPS |
|
|
Face Detection (SP)
|
100% |
4659
55.4 IPS |
|
|
Face Detection (HP)
|
100% |
8476
100.7 IPS |
|
|
Face Detection (Q)
|
100% |
4480
53.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
8389
64.6 IPS |
|
|
Depth Estimation (HP)
|
97% |
14162
109.5 IPS |
|
|
Depth Estimation (Q)
|
86% |
10055
78.5 IPS |
|
|
Style Transfer (SP)
|
100% |
24424
31.4 IPS |
|
|
Style Transfer (HP)
|
100% |
37597
48.3 IPS |
|
|
Style Transfer (Q)
|
96% |
31117
40.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5587
206.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
7064
260.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4916
181.5 IPS |
|
|
Text Classification (SP)
|
100% |
3264
4.36 KIPS |
|
|
Text Classification (HP)
|
99% |
6007
8.02 KIPS |
|
|
Text Classification (Q)
|
93% |
6034
8.10 KIPS |
|
|
Machine Translation (SP)
|
100% |
5204
89.6 IPS |
|
|
Machine Translation (HP)
|
98% |
9487
163.9 IPS |
|
|
Machine Translation (Q)
|
98% |
9464
163.5 IPS |
