iPhone18,2
Geekbench AI Score
5177
Single Precision Score
36224
Half Precision Score
48832
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | October 26 2025 08:20 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | ARM |
| System Information | |
|---|---|
| Operating System | iOS 26.0.1 |
| 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 | 11.34 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2335
434.2 IPS |
|
|
Image Classification (HP)
|
100% |
16224
3.02 KIPS |
|
|
Image Classification (Q)
|
97% |
21436
4.00 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2144
34.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
19957
323.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
25797
418.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
10783
12.6 IPS |
|
|
Pose Estimation (HP)
|
100% |
160124
186.8 IPS |
|
|
Pose Estimation (Q)
|
95% |
297876
349.1 IPS |
|
|
Object Detection (SP)
|
100% |
2676
212.2 IPS |
|
|
Object Detection (HP)
|
100% |
17408
1.38 KIPS |
|
|
Object Detection (Q)
|
91% |
25043
2.00 KIPS |
|
|
Face Detection (SP)
|
100% |
4670
55.5 IPS |
|
|
Face Detection (HP)
|
100% |
40536
481.7 IPS |
|
|
Face Detection (Q)
|
100% |
52462
623.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
8441
65.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
104242
803.1 IPS |
|
|
Depth Estimation (Q)
|
85% |
164914
1.29 KIPS |
|
|
Style Transfer (SP)
|
100% |
25058
32.2 IPS |
|
|
Style Transfer (HP)
|
100% |
259526
333.6 IPS |
|
|
Style Transfer (Q)
|
96% |
352000
454.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5756
212.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
57359
2.12 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
84116
3.11 KIPS |
|
|
Text Classification (SP)
|
100% |
3275
4.37 KIPS |
|
|
Text Classification (HP)
|
99% |
6242
8.33 KIPS |
|
|
Text Classification (Q)
|
93% |
6050
8.12 KIPS |
|
|
Machine Translation (SP)
|
100% |
5147
88.7 IPS |
|
|
Machine Translation (HP)
|
100% |
10980
189.1 IPS |
|
|
Machine Translation (Q)
|
98% |
12060
208.4 IPS |
