iPhone18,2
Geekbench AI Score
9117
Single Precision Score
16938
Half Precision Score
17567
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| User | tyoung89 |
| Upload Date | December 10 2025 08:29 AM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| 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% |
4291
798.1 IPS |
|
|
Image Classification (HP)
|
100% |
8142
1.51 KIPS |
|
|
Image Classification (Q)
|
97% |
7528
1.40 KIPS |
|
|
Image Segmentation (SP)
|
100% |
6081
98.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
9587
155.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
10531
170.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
20339
23.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
54136
63.2 IPS |
|
|
Pose Estimation (Q)
|
95% |
59006
69.2 IPS |
|
|
Object Detection (SP)
|
100% |
4407
349.5 IPS |
|
|
Object Detection (HP)
|
100% |
8094
642.0 IPS |
|
|
Object Detection (Q)
|
93% |
8055
642.6 IPS |
|
|
Face Detection (SP)
|
100% |
11854
140.9 IPS |
|
|
Face Detection (HP)
|
100% |
23110
274.6 IPS |
|
|
Face Detection (Q)
|
100% |
17968
213.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
18047
139.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
35651
274.7 IPS |
|
|
Depth Estimation (Q)
|
86% |
38918
303.9 IPS |
|
|
Style Transfer (SP)
|
100% |
43731
56.2 IPS |
|
|
Style Transfer (HP)
|
100% |
96605
124.2 IPS |
|
|
Style Transfer (Q)
|
96% |
120293
155.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
10412
384.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
18573
685.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
22509
831.1 IPS |
|
|
Text Classification (SP)
|
100% |
3532
4.71 KIPS |
|
|
Text Classification (HP)
|
99% |
6410
8.56 KIPS |
|
|
Text Classification (Q)
|
93% |
6578
8.83 KIPS |
|
|
Machine Translation (SP)
|
100% |
4934
85.0 IPS |
|
|
Machine Translation (HP)
|
100% |
5999
103.3 IPS |
|
|
Machine Translation (Q)
|
98% |
5967
103.1 IPS |
