iPhone18,2
Geekbench AI Score
4981
Single Precision Score
8158
Half Precision Score
6404
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | October 16 2025 05:32 AM |
| 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% |
2300
427.7 IPS |
|
|
Image Classification (HP)
|
100% |
3688
685.8 IPS |
|
|
Image Classification (Q)
|
96% |
2456
458.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
2149
34.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
3049
49.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
3421
55.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
9756
11.4 IPS |
|
|
Pose Estimation (HP)
|
100% |
18014
21.0 IPS |
|
|
Pose Estimation (Q)
|
95% |
15206
17.8 IPS |
|
|
Object Detection (SP)
|
100% |
2506
198.8 IPS |
|
|
Object Detection (HP)
|
97% |
3996
318.1 IPS |
|
|
Object Detection (Q)
|
94% |
2713
216.2 IPS |
|
|
Face Detection (SP)
|
100% |
4236
50.3 IPS |
|
|
Face Detection (HP)
|
100% |
7997
95.0 IPS |
|
|
Face Detection (Q)
|
100% |
4119
48.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
8176
63.0 IPS |
|
|
Depth Estimation (HP)
|
97% |
13733
106.2 IPS |
|
|
Depth Estimation (Q)
|
86% |
9229
72.0 IPS |
|
|
Style Transfer (SP)
|
100% |
23720
30.5 IPS |
|
|
Style Transfer (HP)
|
100% |
36792
47.3 IPS |
|
|
Style Transfer (Q)
|
96% |
30210
39.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5400
199.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6955
256.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4924
181.8 IPS |
|
|
Text Classification (SP)
|
100% |
3515
4.69 KIPS |
|
|
Text Classification (HP)
|
99% |
6450
8.61 KIPS |
|
|
Text Classification (Q)
|
93% |
6415
8.61 KIPS |
|
|
Machine Translation (SP)
|
100% |
4992
86.0 IPS |
|
|
Machine Translation (HP)
|
98% |
8903
153.8 IPS |
|
|
Machine Translation (Q)
|
98% |
9241
159.7 IPS |
