iPhone18,2
Geekbench AI Score
4936
Single Precision Score
36368
Half Precision Score
49506
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | November 20 2025 11:01 AM |
| Views | 1 |
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 | 4.25 GHz |
| Cluster 1 | 2 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 11.42 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2323
432.0 IPS |
|
|
Image Classification (HP)
|
100% |
16989
3.16 KIPS |
|
|
Image Classification (Q)
|
97% |
21919
4.09 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2097
34.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
20347
329.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
25975
421.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
9563
11.2 IPS |
|
|
Pose Estimation (HP)
|
100% |
148648
173.4 IPS |
|
|
Pose Estimation (Q)
|
95% |
283053
331.8 IPS |
|
|
Object Detection (SP)
|
100% |
2503
198.5 IPS |
|
|
Object Detection (HP)
|
100% |
17623
1.40 KIPS |
|
|
Object Detection (Q)
|
91% |
25281
2.02 KIPS |
|
|
Face Detection (SP)
|
100% |
4402
52.3 IPS |
|
|
Face Detection (HP)
|
100% |
41181
489.3 IPS |
|
|
Face Detection (Q)
|
100% |
53761
638.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
8284
63.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
103743
799.3 IPS |
|
|
Depth Estimation (Q)
|
85% |
167765
1.31 KIPS |
|
|
Style Transfer (SP)
|
100% |
23497
30.2 IPS |
|
|
Style Transfer (HP)
|
100% |
258412
332.2 IPS |
|
|
Style Transfer (Q)
|
96% |
347155
448.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5255
194.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
55289
2.04 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
84577
3.12 KIPS |
|
|
Text Classification (SP)
|
100% |
3520
4.70 KIPS |
|
|
Text Classification (HP)
|
99% |
6452
8.61 KIPS |
|
|
Text Classification (Q)
|
93% |
6606
8.87 KIPS |
|
|
Machine Translation (SP)
|
100% |
4652
80.1 IPS |
|
|
Machine Translation (HP)
|
100% |
11352
195.5 IPS |
|
|
Machine Translation (Q)
|
98% |
12408
214.4 IPS |
