iPhone18,2
Geekbench AI Score
9124
Single Precision Score
16915
Half Precision Score
17527
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | November 13 2025 09:22 PM |
| Views | 1 |
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% |
4302
799.9 IPS |
|
|
Image Classification (HP)
|
100% |
8072
1.50 KIPS |
|
|
Image Classification (Q)
|
97% |
7449
1.39 KIPS |
|
|
Image Segmentation (SP)
|
100% |
6085
98.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
9538
154.6 IPS |
|
|
Image Segmentation (Q)
|
99% |
10571
171.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
20386
23.8 IPS |
|
|
Pose Estimation (HP)
|
100% |
53955
63.0 IPS |
|
|
Pose Estimation (Q)
|
95% |
59085
69.3 IPS |
|
|
Object Detection (SP)
|
100% |
4407
349.6 IPS |
|
|
Object Detection (HP)
|
100% |
8074
640.4 IPS |
|
|
Object Detection (Q)
|
93% |
8087
645.2 IPS |
|
|
Face Detection (SP)
|
100% |
11824
140.5 IPS |
|
|
Face Detection (HP)
|
100% |
23150
275.1 IPS |
|
|
Face Detection (Q)
|
100% |
17969
213.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
17997
138.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
35539
273.8 IPS |
|
|
Depth Estimation (Q)
|
86% |
39065
305.0 IPS |
|
|
Style Transfer (SP)
|
100% |
43923
56.5 IPS |
|
|
Style Transfer (HP)
|
100% |
96047
123.5 IPS |
|
|
Style Transfer (Q)
|
96% |
119999
154.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
10417
384.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
18703
690.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
22550
832.7 IPS |
|
|
Text Classification (SP)
|
100% |
3534
4.72 KIPS |
|
|
Text Classification (HP)
|
99% |
6403
8.55 KIPS |
|
|
Text Classification (Q)
|
93% |
6364
8.54 KIPS |
|
|
Machine Translation (SP)
|
100% |
4945
85.2 IPS |
|
|
Machine Translation (HP)
|
100% |
6042
104.1 IPS |
|
|
Machine Translation (Q)
|
98% |
6018
104.0 IPS |
