iPhone18,2
Geekbench AI Score
9090
Single Precision Score
16901
Half Precision Score
17481
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | November 14 2025 12:49 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | ARM |
| System Information | |
|---|---|
| Operating System | iOS 26.1 |
| 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% |
4325
804.3 IPS |
|
|
Image Classification (HP)
|
100% |
8049
1.50 KIPS |
|
|
Image Classification (Q)
|
97% |
7477
1.40 KIPS |
|
|
Image Segmentation (SP)
|
100% |
6101
98.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
9560
155.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
10524
170.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
20390
23.8 IPS |
|
|
Pose Estimation (HP)
|
100% |
53991
63.0 IPS |
|
|
Pose Estimation (Q)
|
95% |
59146
69.3 IPS |
|
|
Object Detection (SP)
|
100% |
4402
349.1 IPS |
|
|
Object Detection (HP)
|
100% |
8103
642.7 IPS |
|
|
Object Detection (Q)
|
93% |
8105
646.6 IPS |
|
|
Face Detection (SP)
|
100% |
11622
138.1 IPS |
|
|
Face Detection (HP)
|
100% |
23243
276.2 IPS |
|
|
Face Detection (Q)
|
100% |
17964
213.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
17947
138.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
35283
271.8 IPS |
|
|
Depth Estimation (Q)
|
86% |
38805
303.0 IPS |
|
|
Style Transfer (SP)
|
100% |
43401
55.8 IPS |
|
|
Style Transfer (HP)
|
100% |
96380
123.9 IPS |
|
|
Style Transfer (Q)
|
96% |
120098
155.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
10432
385.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
18891
697.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
22446
828.8 IPS |
|
|
Text Classification (SP)
|
100% |
3455
4.61 KIPS |
|
|
Text Classification (HP)
|
99% |
6325
8.44 KIPS |
|
|
Text Classification (Q)
|
93% |
6248
8.39 KIPS |
|
|
Machine Translation (SP)
|
100% |
4988
85.9 IPS |
|
|
Machine Translation (HP)
|
100% |
5983
103.1 IPS |
|
|
Machine Translation (Q)
|
98% |
6019
104.0 IPS |
