iPhone18,2
Geekbench AI Score
9032
Single Precision Score
16502
Half Precision Score
17092
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| User | wellwhatthen |
| Upload Date | October 11 2025 03:00 PM |
| Views | 8 |
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% |
4208
782.5 IPS |
|
|
Image Classification (HP)
|
100% |
7919
1.47 KIPS |
|
|
Image Classification (Q)
|
97% |
7368
1.37 KIPS |
|
|
Image Segmentation (SP)
|
100% |
6084
98.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
9571
155.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
10575
171.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
20331
23.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
54079
63.1 IPS |
|
|
Pose Estimation (Q)
|
95% |
59506
69.7 IPS |
|
|
Object Detection (SP)
|
100% |
4407
349.5 IPS |
|
|
Object Detection (HP)
|
100% |
8100
642.5 IPS |
|
|
Object Detection (Q)
|
93% |
8036
641.1 IPS |
|
|
Face Detection (SP)
|
100% |
11708
139.1 IPS |
|
|
Face Detection (HP)
|
100% |
23118
274.7 IPS |
|
|
Face Detection (Q)
|
100% |
18438
219.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
18009
138.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
35560
274.0 IPS |
|
|
Depth Estimation (Q)
|
86% |
38630
301.6 IPS |
|
|
Style Transfer (SP)
|
100% |
43996
56.6 IPS |
|
|
Style Transfer (HP)
|
100% |
96042
123.5 IPS |
|
|
Style Transfer (Q)
|
96% |
121358
156.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
10411
384.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
18678
689.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
22363
825.8 IPS |
|
|
Text Classification (SP)
|
100% |
3232
4.31 KIPS |
|
|
Text Classification (HP)
|
99% |
6549
8.74 KIPS |
|
|
Text Classification (Q)
|
93% |
6123
8.22 KIPS |
|
|
Machine Translation (SP)
|
100% |
5047
86.9 IPS |
|
|
Machine Translation (HP)
|
100% |
4672
80.5 IPS |
|
|
Machine Translation (Q)
|
98% |
4825
83.4 IPS |
