iPhone18,2
Geekbench AI Score
9108
Single Precision Score
16714
Half Precision Score
17085
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| User | Bearco |
| Upload Date | October 14 2025 07:49 PM |
| Views | 5 |
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 | 4.26 GHz |
| Cluster 1 | 2 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 11.42 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
4257
791.6 IPS |
|
|
Image Classification (HP)
|
100% |
8101
1.51 KIPS |
|
|
Image Classification (Q)
|
97% |
7493
1.40 KIPS |
|
|
Image Segmentation (SP)
|
100% |
6067
98.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
9574
155.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
10546
171.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
20312
23.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
53947
62.9 IPS |
|
|
Pose Estimation (Q)
|
95% |
59580
69.8 IPS |
|
|
Object Detection (SP)
|
100% |
4403
349.2 IPS |
|
|
Object Detection (HP)
|
100% |
8076
640.6 IPS |
|
|
Object Detection (Q)
|
93% |
8049
642.1 IPS |
|
|
Face Detection (SP)
|
100% |
11579
137.6 IPS |
|
|
Face Detection (HP)
|
100% |
22803
270.9 IPS |
|
|
Face Detection (Q)
|
100% |
17660
209.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
17954
138.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
35322
272.1 IPS |
|
|
Depth Estimation (Q)
|
86% |
38312
299.1 IPS |
|
|
Style Transfer (SP)
|
100% |
43534
56.0 IPS |
|
|
Style Transfer (HP)
|
100% |
96163
123.6 IPS |
|
|
Style Transfer (Q)
|
96% |
120367
155.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
10420
384.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
20367
752.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
22523
831.7 IPS |
|
|
Text Classification (SP)
|
100% |
3488
4.66 KIPS |
|
|
Text Classification (HP)
|
99% |
6469
8.63 KIPS |
|
|
Text Classification (Q)
|
93% |
6360
8.54 KIPS |
|
|
Machine Translation (SP)
|
100% |
5176
89.2 IPS |
|
|
Machine Translation (HP)
|
100% |
4935
85.0 IPS |
|
|
Machine Translation (Q)
|
98% |
4794
82.9 IPS |
