iPhone18,2
Geekbench AI Score
5102
Single Precision Score
8258
Half Precision Score
6531
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| User | KenT7 |
| Upload Date | October 09 2025 11:40 PM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | ARM |
| System Information | |
|---|---|
| Operating System | iOS 26.1 |
| 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% |
2340
435.1 IPS |
|
|
Image Classification (HP)
|
100% |
3687
685.6 IPS |
|
|
Image Classification (Q)
|
96% |
2478
462.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
2156
35.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
2978
48.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
3334
54.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
10499
12.3 IPS |
|
|
Pose Estimation (HP)
|
100% |
19198
22.4 IPS |
|
|
Pose Estimation (Q)
|
95% |
16250
19.0 IPS |
|
|
Object Detection (SP)
|
100% |
2601
206.3 IPS |
|
|
Object Detection (HP)
|
97% |
4152
330.6 IPS |
|
|
Object Detection (Q)
|
94% |
2838
226.2 IPS |
|
|
Face Detection (SP)
|
100% |
4469
53.1 IPS |
|
|
Face Detection (HP)
|
100% |
8404
99.9 IPS |
|
|
Face Detection (Q)
|
100% |
4421
52.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
8363
64.4 IPS |
|
|
Depth Estimation (HP)
|
97% |
14197
109.7 IPS |
|
|
Depth Estimation (Q)
|
86% |
9985
77.9 IPS |
|
|
Style Transfer (SP)
|
100% |
24636
31.7 IPS |
|
|
Style Transfer (HP)
|
100% |
37741
48.5 IPS |
|
|
Style Transfer (Q)
|
96% |
31074
40.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5541
204.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6952
256.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4929
182.0 IPS |
|
|
Text Classification (SP)
|
100% |
3199
4.27 KIPS |
|
|
Text Classification (HP)
|
99% |
5879
7.85 KIPS |
|
|
Text Classification (Q)
|
93% |
5933
7.96 KIPS |
|
|
Machine Translation (SP)
|
100% |
5319
91.6 IPS |
|
|
Machine Translation (HP)
|
98% |
9167
158.4 IPS |
|
|
Machine Translation (Q)
|
98% |
9241
159.7 IPS |
