iPhone18,2
Geekbench AI Score
5150
Single Precision Score
8370
Half Precision Score
6594
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | October 28 2025 09:41 PM |
| Views | 2 |
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 | 4.26 GHz |
| Cluster 1 | 2 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 11.42 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2354
437.8 IPS |
|
|
Image Classification (HP)
|
100% |
3724
692.6 IPS |
|
|
Image Classification (Q)
|
96% |
2464
460.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
2074
33.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
2996
48.6 IPS |
|
|
Image Segmentation (Q)
|
99% |
3412
55.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
10698
12.5 IPS |
|
|
Pose Estimation (HP)
|
100% |
19312
22.5 IPS |
|
|
Pose Estimation (Q)
|
95% |
16350
19.2 IPS |
|
|
Object Detection (SP)
|
100% |
2619
207.8 IPS |
|
|
Object Detection (HP)
|
97% |
4138
329.4 IPS |
|
|
Object Detection (Q)
|
94% |
2797
223.0 IPS |
|
|
Face Detection (SP)
|
100% |
4507
53.6 IPS |
|
|
Face Detection (HP)
|
100% |
8388
99.7 IPS |
|
|
Face Detection (Q)
|
100% |
4342
51.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
8459
65.2 IPS |
|
|
Depth Estimation (HP)
|
97% |
14222
109.9 IPS |
|
|
Depth Estimation (Q)
|
86% |
9818
76.6 IPS |
|
|
Style Transfer (SP)
|
100% |
24527
31.5 IPS |
|
|
Style Transfer (HP)
|
100% |
37661
48.4 IPS |
|
|
Style Transfer (Q)
|
96% |
30866
39.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5446
201.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6875
253.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4932
182.1 IPS |
|
|
Text Classification (SP)
|
100% |
3560
4.75 KIPS |
|
|
Text Classification (HP)
|
99% |
6512
8.69 KIPS |
|
|
Text Classification (Q)
|
93% |
6486
8.70 KIPS |
|
|
Machine Translation (SP)
|
100% |
5298
91.3 IPS |
|
|
Machine Translation (HP)
|
98% |
9410
162.6 IPS |
|
|
Machine Translation (Q)
|
98% |
9611
166.1 IPS |
