iPhone18,2
Geekbench AI Score
9070
Single Precision Score
16495
Half Precision Score
17117
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | October 29 2025 05:08 AM |
| Views | 1 |
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% |
4247
789.9 IPS |
|
|
Image Classification (HP)
|
100% |
7952
1.48 KIPS |
|
|
Image Classification (Q)
|
97% |
7458
1.39 KIPS |
|
|
Image Segmentation (SP)
|
100% |
6078
98.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
9623
156.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
10611
172.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
20374
23.8 IPS |
|
|
Pose Estimation (HP)
|
100% |
54281
63.3 IPS |
|
|
Pose Estimation (Q)
|
95% |
59391
69.6 IPS |
|
|
Object Detection (SP)
|
100% |
4409
349.7 IPS |
|
|
Object Detection (HP)
|
100% |
8134
645.2 IPS |
|
|
Object Detection (Q)
|
93% |
8074
644.2 IPS |
|
|
Face Detection (SP)
|
100% |
11682
138.8 IPS |
|
|
Face Detection (HP)
|
100% |
23105
274.5 IPS |
|
|
Face Detection (Q)
|
100% |
18181
216.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
18000
138.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
35603
274.3 IPS |
|
|
Depth Estimation (Q)
|
86% |
38372
299.6 IPS |
|
|
Style Transfer (SP)
|
100% |
43902
56.4 IPS |
|
|
Style Transfer (HP)
|
100% |
96059
123.5 IPS |
|
|
Style Transfer (Q)
|
96% |
120292
155.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
10411
384.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
18660
689.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
22535
832.1 IPS |
|
|
Text Classification (SP)
|
100% |
3254
4.34 KIPS |
|
|
Text Classification (HP)
|
99% |
6098
8.14 KIPS |
|
|
Text Classification (Q)
|
93% |
6133
8.23 KIPS |
|
|
Machine Translation (SP)
|
100% |
5199
89.6 IPS |
|
|
Machine Translation (HP)
|
100% |
4910
84.6 IPS |
|
|
Machine Translation (Q)
|
98% |
4908
84.8 IPS |
