iPhone18,2
Geekbench AI Score
9177
Single Precision Score
16776
Half Precision Score
17357
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| User | iPhil |
| Upload Date | September 19 2025 07:53 PM |
| Views | 5 |
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 | 4.16 GHz |
| Cluster 1 | 2 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 11.42 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
4352
809.3 IPS |
|
|
Image Classification (HP)
|
100% |
8228
1.53 KIPS |
|
|
Image Classification (Q)
|
97% |
7634
1.42 KIPS |
|
|
Image Segmentation (SP)
|
100% |
6109
99.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
9688
157.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
10618
172.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
20359
23.8 IPS |
|
|
Pose Estimation (HP)
|
100% |
54426
63.5 IPS |
|
|
Pose Estimation (Q)
|
95% |
59264
69.5 IPS |
|
|
Object Detection (SP)
|
100% |
4391
348.3 IPS |
|
|
Object Detection (HP)
|
100% |
8102
642.6 IPS |
|
|
Object Detection (Q)
|
93% |
8152
650.3 IPS |
|
|
Face Detection (SP)
|
100% |
11746
139.6 IPS |
|
|
Face Detection (HP)
|
100% |
23124
274.8 IPS |
|
|
Face Detection (Q)
|
100% |
18008
214.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
18033
138.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
35704
275.1 IPS |
|
|
Depth Estimation (Q)
|
86% |
39434
307.9 IPS |
|
|
Style Transfer (SP)
|
100% |
43675
56.1 IPS |
|
|
Style Transfer (HP)
|
100% |
96678
124.3 IPS |
|
|
Style Transfer (Q)
|
96% |
120435
155.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
10505
387.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
19785
730.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
22848
843.7 IPS |
|
|
Text Classification (SP)
|
100% |
3613
4.82 KIPS |
|
|
Text Classification (HP)
|
99% |
6722
8.97 KIPS |
|
|
Text Classification (Q)
|
93% |
6665
8.94 KIPS |
|
|
Machine Translation (SP)
|
100% |
5081
87.5 IPS |
|
|
Machine Translation (HP)
|
100% |
4734
81.5 IPS |
|
|
Machine Translation (Q)
|
98% |
4868
84.1 IPS |
