iPhone18,2
Geekbench AI Score
9173
Single Precision Score
17163
Half Precision Score
17645
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | November 16 2025 10:17 PM |
| 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 | 4.25 GHz |
| Cluster 1 | 2 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 11.42 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
4303
800.3 IPS |
|
|
Image Classification (HP)
|
100% |
8093
1.51 KIPS |
|
|
Image Classification (Q)
|
97% |
7469
1.39 KIPS |
|
|
Image Segmentation (SP)
|
100% |
6151
99.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
9743
157.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
10685
173.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
20493
23.9 IPS |
|
|
Pose Estimation (HP)
|
100% |
54493
63.6 IPS |
|
|
Pose Estimation (Q)
|
95% |
59955
70.3 IPS |
|
|
Object Detection (SP)
|
100% |
4418
350.4 IPS |
|
|
Object Detection (HP)
|
100% |
8144
646.0 IPS |
|
|
Object Detection (Q)
|
93% |
8144
649.7 IPS |
|
|
Face Detection (SP)
|
100% |
11904
141.4 IPS |
|
|
Face Detection (HP)
|
100% |
23436
278.5 IPS |
|
|
Face Detection (Q)
|
100% |
18191
216.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
18186
140.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
35651
274.7 IPS |
|
|
Depth Estimation (Q)
|
86% |
39591
309.1 IPS |
|
|
Style Transfer (SP)
|
100% |
44182
56.8 IPS |
|
|
Style Transfer (HP)
|
100% |
96649
124.2 IPS |
|
|
Style Transfer (Q)
|
96% |
121018
156.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
10494
387.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
20251
747.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
22666
836.9 IPS |
|
|
Text Classification (SP)
|
100% |
3513
4.69 KIPS |
|
|
Text Classification (HP)
|
99% |
6422
8.57 KIPS |
|
|
Text Classification (Q)
|
93% |
6228
8.36 KIPS |
|
|
Machine Translation (SP)
|
100% |
4994
86.0 IPS |
|
|
Machine Translation (HP)
|
100% |
6038
104.0 IPS |
|
|
Machine Translation (Q)
|
98% |
6104
105.5 IPS |
