iPhone18,2
Geekbench AI Score
9128
Single Precision Score
16553
Half Precision Score
17142
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| User | Skyforger |
| Upload Date | October 16 2025 08:04 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 | 4.25 GHz |
| Cluster 1 | 2 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 11.42 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
4232
787.0 IPS |
|
|
Image Classification (HP)
|
100% |
8064
1.50 KIPS |
|
|
Image Classification (Q)
|
97% |
7420
1.38 KIPS |
|
|
Image Segmentation (SP)
|
100% |
6075
98.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
9581
155.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
10589
171.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
20392
23.8 IPS |
|
|
Pose Estimation (HP)
|
100% |
54042
63.1 IPS |
|
|
Pose Estimation (Q)
|
95% |
59629
69.9 IPS |
|
|
Object Detection (SP)
|
100% |
4401
349.1 IPS |
|
|
Object Detection (HP)
|
100% |
8074
640.4 IPS |
|
|
Object Detection (Q)
|
93% |
8054
642.5 IPS |
|
|
Face Detection (SP)
|
100% |
11757
139.7 IPS |
|
|
Face Detection (HP)
|
100% |
23132
274.9 IPS |
|
|
Face Detection (Q)
|
100% |
18299
217.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
18068
139.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
35515
273.6 IPS |
|
|
Depth Estimation (Q)
|
86% |
38525
300.8 IPS |
|
|
Style Transfer (SP)
|
100% |
43996
56.6 IPS |
|
|
Style Transfer (HP)
|
100% |
96601
124.2 IPS |
|
|
Style Transfer (Q)
|
96% |
120067
154.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
10431
385.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
18911
698.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
22750
840.1 IPS |
|
|
Text Classification (SP)
|
100% |
3553
4.74 KIPS |
|
|
Text Classification (HP)
|
99% |
6461
8.62 KIPS |
|
|
Text Classification (Q)
|
93% |
6426
8.62 KIPS |
|
|
Machine Translation (SP)
|
100% |
5029
86.6 IPS |
|
|
Machine Translation (HP)
|
100% |
4727
81.4 IPS |
|
|
Machine Translation (Q)
|
98% |
4693
81.1 IPS |
