iPhone18,2
Geekbench AI Score
9050
Single Precision Score
16897
Half Precision Score
17483
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| User | KennyO |
| Upload Date | December 01 2025 11:10 AM |
| Views | 9 |
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 | 4.26 GHz |
| Cluster 1 | 2 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 11.42 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
4234
787.4 IPS |
|
|
Image Classification (HP)
|
100% |
7985
1.48 KIPS |
|
|
Image Classification (Q)
|
97% |
7489
1.40 KIPS |
|
|
Image Segmentation (SP)
|
100% |
6061
98.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
9378
152.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
10566
171.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
20170
23.5 IPS |
|
|
Pose Estimation (HP)
|
100% |
53493
62.4 IPS |
|
|
Pose Estimation (Q)
|
95% |
58983
69.1 IPS |
|
|
Object Detection (SP)
|
100% |
4402
349.2 IPS |
|
|
Object Detection (HP)
|
100% |
8073
640.4 IPS |
|
|
Object Detection (Q)
|
93% |
8067
643.6 IPS |
|
|
Face Detection (SP)
|
100% |
11618
138.0 IPS |
|
|
Face Detection (HP)
|
100% |
23144
275.0 IPS |
|
|
Face Detection (Q)
|
100% |
17942
213.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
17852
137.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
35142
270.8 IPS |
|
|
Depth Estimation (Q)
|
86% |
38086
297.4 IPS |
|
|
Style Transfer (SP)
|
100% |
43313
55.7 IPS |
|
|
Style Transfer (HP)
|
100% |
95426
122.7 IPS |
|
|
Style Transfer (Q)
|
96% |
119561
154.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
10440
385.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
19569
722.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
22492
830.5 IPS |
|
|
Text Classification (SP)
|
100% |
3532
4.71 KIPS |
|
|
Text Classification (HP)
|
99% |
6466
8.63 KIPS |
|
|
Text Classification (Q)
|
93% |
6458
8.67 KIPS |
|
|
Machine Translation (SP)
|
100% |
4887
84.2 IPS |
|
|
Machine Translation (HP)
|
100% |
5975
102.9 IPS |
|
|
Machine Translation (Q)
|
98% |
5973
103.2 IPS |
