iPhone18,2
Geekbench AI Score
9065
Single Precision Score
16833
Half Precision Score
17503
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| User | LulzSec |
| Upload Date | December 03 2025 06:43 AM |
| Views | 7 |
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 | 4.24 GHz |
| Cluster 1 | 2 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 11.42 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
4235
787.7 IPS |
|
|
Image Classification (HP)
|
100% |
7984
1.48 KIPS |
|
|
Image Classification (Q)
|
97% |
7643
1.43 KIPS |
|
|
Image Segmentation (SP)
|
100% |
6037
97.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
9491
153.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
10492
170.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
20245
23.6 IPS |
|
|
Pose Estimation (HP)
|
100% |
53837
62.8 IPS |
|
|
Pose Estimation (Q)
|
95% |
58728
68.8 IPS |
|
|
Object Detection (SP)
|
100% |
4404
349.3 IPS |
|
|
Object Detection (HP)
|
100% |
8077
640.7 IPS |
|
|
Object Detection (Q)
|
93% |
8077
644.3 IPS |
|
|
Face Detection (SP)
|
100% |
11744
139.5 IPS |
|
|
Face Detection (HP)
|
100% |
23142
275.0 IPS |
|
|
Face Detection (Q)
|
100% |
17968
213.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
18002
138.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
35298
272.0 IPS |
|
|
Depth Estimation (Q)
|
86% |
38552
301.0 IPS |
|
|
Style Transfer (SP)
|
100% |
43203
55.5 IPS |
|
|
Style Transfer (HP)
|
100% |
95781
123.1 IPS |
|
|
Style Transfer (Q)
|
96% |
119583
154.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
10417
384.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
18576
685.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
22454
829.1 IPS |
|
|
Text Classification (SP)
|
100% |
3517
4.69 KIPS |
|
|
Text Classification (HP)
|
99% |
6427
8.58 KIPS |
|
|
Text Classification (Q)
|
93% |
6379
8.56 KIPS |
|
|
Machine Translation (SP)
|
100% |
4914
84.7 IPS |
|
|
Machine Translation (HP)
|
100% |
5935
102.2 IPS |
|
|
Machine Translation (Q)
|
98% |
5981
103.4 IPS |
