iPhone18,2
Geekbench AI Score
3809
Single Precision Score
6845
Half Precision Score
7119
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| User | KenT7 |
| Upload Date | October 09 2025 11:43 PM |
| Views | 3 |
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% |
4090
760.7 IPS |
|
|
Image Classification (HP)
|
100% |
7428
1.38 KIPS |
|
|
Image Classification (Q)
|
97% |
6876
1.28 KIPS |
|
|
Image Segmentation (SP)
|
100% |
5909
95.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
9309
150.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
10354
167.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
20004
23.3 IPS |
|
|
Pose Estimation (HP)
|
100% |
53035
61.9 IPS |
|
|
Pose Estimation (Q)
|
95% |
57222
67.1 IPS |
|
|
Object Detection (SP)
|
100% |
4329
343.4 IPS |
|
|
Object Detection (HP)
|
100% |
7852
622.8 IPS |
|
|
Object Detection (Q)
|
93% |
7857
626.8 IPS |
|
|
Face Detection (SP)
|
100% |
11458
136.1 IPS |
|
|
Face Detection (HP)
|
100% |
22789
270.8 IPS |
|
|
Face Detection (Q)
|
100% |
17636
209.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
17764
136.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
34301
264.3 IPS |
|
|
Depth Estimation (Q)
|
86% |
37688
294.3 IPS |
|
|
Style Transfer (SP)
|
100% |
43049
55.3 IPS |
|
|
Style Transfer (HP)
|
100% |
93390
120.1 IPS |
|
|
Style Transfer (Q)
|
96% |
118023
152.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
10207
376.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
17427
643.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
21379
789.4 IPS |
|
|
Text Classification (SP)
|
100% |
3440
4.59 KIPS |
|
|
Text Classification (HP)
|
99% |
6164
8.23 KIPS |
|
|
Text Classification (Q)
|
93% |
6232
8.36 KIPS |
|
|
Machine Translation (SP)
|
0% |
0
44.1 IPS |
|
|
Machine Translation (HP)
|
0% |
0
52.3 IPS |
|
|
Machine Translation (Q)
|
0% |
0
45.4 IPS |
