iPhone18,2
Geekbench AI Score
4610
Single Precision Score
35113
Half Precision Score
47977
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | September 21 2025 08:51 AM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| 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 | 4.15 GHz |
| Cluster 1 | 2 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 11.42 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2163
402.3 IPS |
|
|
Image Classification (HP)
|
100% |
16620
3.09 KIPS |
|
|
Image Classification (Q)
|
97% |
22812
4.26 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2128
34.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
18852
305.6 IPS |
|
|
Image Segmentation (Q)
|
99% |
23154
375.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
8744
10.2 IPS |
|
|
Pose Estimation (HP)
|
100% |
142098
165.8 IPS |
|
|
Pose Estimation (Q)
|
95% |
244407
286.5 IPS |
|
|
Object Detection (SP)
|
100% |
2381
188.9 IPS |
|
|
Object Detection (HP)
|
100% |
17805
1.41 KIPS |
|
|
Object Detection (Q)
|
91% |
23879
1.91 KIPS |
|
|
Face Detection (SP)
|
100% |
3846
45.7 IPS |
|
|
Face Detection (HP)
|
100% |
41892
497.8 IPS |
|
|
Face Detection (Q)
|
100% |
53268
632.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
7334
56.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
94473
727.9 IPS |
|
|
Depth Estimation (Q)
|
85% |
169297
1.32 KIPS |
|
|
Style Transfer (SP)
|
100% |
21511
27.7 IPS |
|
|
Style Transfer (HP)
|
100% |
248457
319.4 IPS |
|
|
Style Transfer (Q)
|
96% |
342379
441.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4995
184.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
53035
1.96 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
84292
3.11 KIPS |
|
|
Text Classification (SP)
|
100% |
3399
4.54 KIPS |
|
|
Text Classification (HP)
|
99% |
6395
8.54 KIPS |
|
|
Text Classification (Q)
|
93% |
6392
8.58 KIPS |
|
|
Machine Translation (SP)
|
100% |
4397
75.7 IPS |
|
|
Machine Translation (HP)
|
100% |
10779
185.7 IPS |
|
|
Machine Translation (Q)
|
98% |
12600
217.7 IPS |
