iPhone18,2
Geekbench AI Score
9009
Single Precision Score
16275
Half Precision Score
16446
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| User | mcx |
| Upload Date | November 02 2025 12:39 PM |
| Views | 7 |
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 | 4.25 GHz |
| Cluster 1 | 2 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 11.42 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
4237
787.9 IPS |
|
|
Image Classification (HP)
|
100% |
7987
1.49 KIPS |
|
|
Image Classification (Q)
|
97% |
7399
1.38 KIPS |
|
|
Image Segmentation (SP)
|
100% |
5970
96.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
9485
153.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
10444
169.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
20086
23.4 IPS |
|
|
Pose Estimation (HP)
|
100% |
53231
62.1 IPS |
|
|
Pose Estimation (Q)
|
95% |
57492
67.4 IPS |
|
|
Object Detection (SP)
|
100% |
4358
345.7 IPS |
|
|
Object Detection (HP)
|
100% |
8098
642.3 IPS |
|
|
Object Detection (Q)
|
93% |
8030
640.6 IPS |
|
|
Face Detection (SP)
|
100% |
11566
137.4 IPS |
|
|
Face Detection (HP)
|
100% |
22808
271.0 IPS |
|
|
Face Detection (Q)
|
100% |
17751
210.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
17796
137.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
34782
268.0 IPS |
|
|
Depth Estimation (Q)
|
86% |
37949
296.3 IPS |
|
|
Style Transfer (SP)
|
100% |
43039
55.3 IPS |
|
|
Style Transfer (HP)
|
100% |
93844
120.6 IPS |
|
|
Style Transfer (Q)
|
96% |
119359
154.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
10401
384.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
18659
689.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
22363
825.8 IPS |
|
|
Text Classification (SP)
|
100% |
3488
4.66 KIPS |
|
|
Text Classification (HP)
|
99% |
6414
8.56 KIPS |
|
|
Text Classification (Q)
|
93% |
4809
6.45 KIPS |
|
|
Machine Translation (SP)
|
100% |
4951
85.3 IPS |
|
|
Machine Translation (HP)
|
100% |
4482
77.2 IPS |
|
|
Machine Translation (Q)
|
98% |
4695
81.1 IPS |
