iPhone18,2
Geekbench AI Score
5170
Single Precision Score
36144
Half Precision Score
49639
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| User | sabin1001 |
| Upload Date | December 22 2025 08:48 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | ARM |
| System Information | |
|---|---|
| Operating System | iOS 26.2 |
| 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% |
2353
437.6 IPS |
|
|
Image Classification (HP)
|
100% |
16575
3.08 KIPS |
|
|
Image Classification (Q)
|
97% |
21855
4.08 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2137
34.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
19787
320.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
25637
415.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
10316
12.0 IPS |
|
|
Pose Estimation (HP)
|
100% |
158948
185.5 IPS |
|
|
Pose Estimation (Q)
|
95% |
297037
348.1 IPS |
|
|
Object Detection (SP)
|
100% |
2700
214.1 IPS |
|
|
Object Detection (HP)
|
100% |
17846
1.42 KIPS |
|
|
Object Detection (Q)
|
91% |
25241
2.02 KIPS |
|
|
Face Detection (SP)
|
100% |
4646
55.2 IPS |
|
|
Face Detection (HP)
|
100% |
40801
484.8 IPS |
|
|
Face Detection (Q)
|
100% |
57466
682.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
8573
66.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
105049
809.3 IPS |
|
|
Depth Estimation (Q)
|
85% |
168258
1.32 KIPS |
|
|
Style Transfer (SP)
|
100% |
25011
32.2 IPS |
|
|
Style Transfer (HP)
|
100% |
259980
334.2 IPS |
|
|
Style Transfer (Q)
|
96% |
350889
452.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5700
210.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
56059
2.07 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
85491
3.16 KIPS |
|
|
Text Classification (SP)
|
100% |
3273
4.37 KIPS |
|
|
Text Classification (HP)
|
99% |
6099
8.14 KIPS |
|
|
Text Classification (Q)
|
93% |
6028
8.09 KIPS |
|
|
Machine Translation (SP)
|
100% |
5247
90.4 IPS |
|
|
Machine Translation (HP)
|
100% |
10738
185.0 IPS |
|
|
Machine Translation (Q)
|
98% |
12368
213.7 IPS |
