iPhone18,2
Geekbench AI Score
4966
Single Precision Score
8295
Half Precision Score
6627
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| User | dwc22 |
| Upload Date | September 20 2025 06:36 AM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| 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 | 4.26 GHz |
| Cluster 1 | 2 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 11.42 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2344
435.9 IPS |
|
|
Image Classification (HP)
|
100% |
3761
699.4 IPS |
|
|
Image Classification (Q)
|
96% |
2483
463.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
2184
35.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
3177
51.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
3461
56.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
10641
12.4 IPS |
|
|
Pose Estimation (HP)
|
100% |
18965
22.1 IPS |
|
|
Pose Estimation (Q)
|
95% |
15927
18.7 IPS |
|
|
Object Detection (SP)
|
100% |
2608
206.9 IPS |
|
|
Object Detection (HP)
|
97% |
4213
335.4 IPS |
|
|
Object Detection (Q)
|
94% |
2875
229.2 IPS |
|
|
Face Detection (SP)
|
100% |
3242
38.5 IPS |
|
|
Face Detection (HP)
|
100% |
7069
84.0 IPS |
|
|
Face Detection (Q)
|
100% |
4297
51.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
8355
64.4 IPS |
|
|
Depth Estimation (HP)
|
97% |
14210
109.8 IPS |
|
|
Depth Estimation (Q)
|
86% |
10073
78.6 IPS |
|
|
Style Transfer (SP)
|
100% |
24160
31.1 IPS |
|
|
Style Transfer (HP)
|
100% |
37997
48.8 IPS |
|
|
Style Transfer (Q)
|
96% |
31299
40.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5479
202.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6982
257.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4996
184.5 IPS |
|
|
Text Classification (SP)
|
100% |
3520
4.70 KIPS |
|
|
Text Classification (HP)
|
99% |
6574
8.77 KIPS |
|
|
Text Classification (Q)
|
93% |
6429
8.63 KIPS |
|
|
Machine Translation (SP)
|
100% |
5091
87.7 IPS |
|
|
Machine Translation (HP)
|
98% |
9231
159.5 IPS |
|
|
Machine Translation (Q)
|
98% |
9544
164.9 IPS |
