iPhone18,2
Geekbench AI Score
4965
Single Precision Score
36082
Half Precision Score
50409
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| User | DmytroVlasenko |
| Upload Date | September 19 2025 11:32 PM |
| Views | 8 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| 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% |
2262
420.6 IPS |
|
|
Image Classification (HP)
|
100% |
16367
3.04 KIPS |
|
|
Image Classification (Q)
|
97% |
22879
4.27 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2129
34.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
20263
328.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
25316
410.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
10518
12.3 IPS |
|
|
Pose Estimation (HP)
|
100% |
159928
186.6 IPS |
|
|
Pose Estimation (Q)
|
95% |
298988
350.4 IPS |
|
|
Object Detection (SP)
|
100% |
2235
177.3 IPS |
|
|
Object Detection (HP)
|
100% |
17874
1.42 KIPS |
|
|
Object Detection (Q)
|
91% |
25523
2.04 KIPS |
|
|
Face Detection (SP)
|
100% |
4594
54.6 IPS |
|
|
Face Detection (HP)
|
100% |
40350
479.4 IPS |
|
|
Face Detection (Q)
|
100% |
60342
717.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
8349
64.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
103126
794.5 IPS |
|
|
Depth Estimation (Q)
|
85% |
171697
1.34 KIPS |
|
|
Style Transfer (SP)
|
100% |
24552
31.6 IPS |
|
|
Style Transfer (HP)
|
100% |
251335
323.1 IPS |
|
|
Style Transfer (Q)
|
96% |
353947
456.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5552
205.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
55965
2.07 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
79477
2.93 KIPS |
|
|
Text Classification (SP)
|
100% |
3329
4.44 KIPS |
|
|
Text Classification (HP)
|
99% |
6150
8.21 KIPS |
|
|
Text Classification (Q)
|
93% |
6696
8.99 KIPS |
|
|
Machine Translation (SP)
|
100% |
4625
79.7 IPS |
|
|
Machine Translation (HP)
|
100% |
10963
188.8 IPS |
|
|
Machine Translation (Q)
|
98% |
12283
212.3 IPS |
