iPhone18,2
Geekbench AI Score
5181
Single Precision Score
36233
Half Precision Score
49035
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | October 26 2025 08:29 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% |
2348
436.7 IPS |
|
|
Image Classification (HP)
|
100% |
16326
3.04 KIPS |
|
|
Image Classification (Q)
|
97% |
21398
3.99 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2143
34.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
20112
326.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
26088
422.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
10864
12.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
160284
187.0 IPS |
|
|
Pose Estimation (Q)
|
95% |
298078
349.4 IPS |
|
|
Object Detection (SP)
|
100% |
2685
212.9 IPS |
|
|
Object Detection (HP)
|
100% |
17331
1.37 KIPS |
|
|
Object Detection (Q)
|
91% |
25096
2.01 KIPS |
|
|
Face Detection (SP)
|
100% |
4707
55.9 IPS |
|
|
Face Detection (HP)
|
100% |
40772
484.5 IPS |
|
|
Face Detection (Q)
|
100% |
52621
625.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
8489
65.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
104851
807.8 IPS |
|
|
Depth Estimation (Q)
|
85% |
169053
1.32 KIPS |
|
|
Style Transfer (SP)
|
100% |
24954
32.1 IPS |
|
|
Style Transfer (HP)
|
100% |
259470
333.6 IPS |
|
|
Style Transfer (Q)
|
96% |
352318
454.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5727
211.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
58345
2.15 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
85732
3.17 KIPS |
|
|
Text Classification (SP)
|
100% |
3180
4.24 KIPS |
|
|
Text Classification (HP)
|
99% |
6064
8.09 KIPS |
|
|
Text Classification (Q)
|
93% |
6029
8.09 KIPS |
|
|
Machine Translation (SP)
|
100% |
5231
90.1 IPS |
|
|
Machine Translation (HP)
|
100% |
10897
187.7 IPS |
|
|
Machine Translation (Q)
|
98% |
11881
205.3 IPS |
