iPhone18,2
Geekbench AI Score
8391
Single Precision Score
15530
Half Precision Score
15237
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | September 20 2025 12:34 AM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | ARM |
| System Information | |
|---|---|
| Operating System | iOS 26.0 |
| 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% |
4329
805.1 IPS |
|
|
Image Classification (HP)
|
100% |
7995
1.49 KIPS |
|
|
Image Classification (Q)
|
97% |
7564
1.41 KIPS |
|
|
Image Segmentation (SP)
|
100% |
6086
98.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
9012
146.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
10456
169.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
20327
23.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
54158
63.2 IPS |
|
|
Pose Estimation (Q)
|
95% |
58882
69.0 IPS |
|
|
Object Detection (SP)
|
100% |
4410
349.8 IPS |
|
|
Object Detection (HP)
|
100% |
8081
641.0 IPS |
|
|
Object Detection (Q)
|
93% |
8060
643.0 IPS |
|
|
Face Detection (SP)
|
100% |
11843
140.7 IPS |
|
|
Face Detection (HP)
|
100% |
23109
274.6 IPS |
|
|
Face Detection (Q)
|
100% |
17963
213.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
17977
138.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
35646
274.6 IPS |
|
|
Depth Estimation (Q)
|
86% |
38966
304.2 IPS |
|
|
Style Transfer (SP)
|
100% |
43671
56.1 IPS |
|
|
Style Transfer (HP)
|
100% |
96080
123.5 IPS |
|
|
Style Transfer (Q)
|
96% |
120243
155.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
10409
384.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
18785
693.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
22659
836.7 IPS |
|
|
Text Classification (SP)
|
100% |
3536
4.72 KIPS |
|
|
Text Classification (HP)
|
99% |
6423
8.57 KIPS |
|
|
Text Classification (Q)
|
93% |
6331
8.50 KIPS |
|
|
Machine Translation (SP)
|
100% |
2142
36.9 IPS |
|
|
Machine Translation (HP)
|
100% |
2711
46.7 IPS |
|
|
Machine Translation (Q)
|
98% |
1489
25.7 IPS |
