iPhone18,2
Geekbench AI Score
4882
Single Precision Score
8074
Half Precision Score
6340
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | December 16 2025 09:05 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | ARM |
| System Information | |
|---|---|
| Operating System | iOS 26.2 |
| 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% |
2319
431.3 IPS |
|
|
Image Classification (HP)
|
100% |
3802
707.1 IPS |
|
|
Image Classification (Q)
|
96% |
2506
467.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
2052
33.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
2928
47.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
3342
54.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
9590
11.2 IPS |
|
|
Pose Estimation (HP)
|
100% |
18315
21.4 IPS |
|
|
Pose Estimation (Q)
|
95% |
13773
16.1 IPS |
|
|
Object Detection (SP)
|
100% |
2195
174.1 IPS |
|
|
Object Detection (HP)
|
97% |
3446
274.3 IPS |
|
|
Object Detection (Q)
|
94% |
2559
203.9 IPS |
|
|
Face Detection (SP)
|
100% |
4104
48.8 IPS |
|
|
Face Detection (HP)
|
100% |
7946
94.4 IPS |
|
|
Face Detection (Q)
|
100% |
4090
48.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
8136
62.7 IPS |
|
|
Depth Estimation (HP)
|
97% |
13529
104.6 IPS |
|
|
Depth Estimation (Q)
|
86% |
9598
74.9 IPS |
|
|
Style Transfer (SP)
|
100% |
23734
30.5 IPS |
|
|
Style Transfer (HP)
|
100% |
37070
47.7 IPS |
|
|
Style Transfer (Q)
|
96% |
30208
39.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5459
201.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6945
256.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4959
183.1 IPS |
|
|
Text Classification (SP)
|
100% |
3546
4.73 KIPS |
|
|
Text Classification (HP)
|
99% |
6575
8.78 KIPS |
|
|
Text Classification (Q)
|
93% |
6534
8.77 KIPS |
|
|
Machine Translation (SP)
|
100% |
5007
86.2 IPS |
|
|
Machine Translation (HP)
|
98% |
9217
159.3 IPS |
|
|
Machine Translation (Q)
|
98% |
9262
160.1 IPS |
