iPhone18,2
Geekbench AI Score
4999
Single Precision Score
36067
Half Precision Score
49612
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| User | Oleksandr |
| Upload Date | November 18 2025 01:48 AM |
| Views | 10 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | ARM |
| System Information | |
|---|---|
| Operating System | iOS 26.1 |
| 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 | 11.34 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2326
432.7 IPS |
|
|
Image Classification (HP)
|
100% |
16384
3.05 KIPS |
|
|
Image Classification (Q)
|
97% |
22068
4.12 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2104
34.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
20188
327.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
25760
417.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
9882
11.5 IPS |
|
|
Pose Estimation (HP)
|
100% |
148521
173.3 IPS |
|
|
Pose Estimation (Q)
|
95% |
284433
333.4 IPS |
|
|
Object Detection (SP)
|
100% |
2548
202.1 IPS |
|
|
Object Detection (HP)
|
100% |
17463
1.39 KIPS |
|
|
Object Detection (Q)
|
91% |
25512
2.04 KIPS |
|
|
Face Detection (SP)
|
100% |
4223
50.2 IPS |
|
|
Face Detection (HP)
|
100% |
40675
483.3 IPS |
|
|
Face Detection (Q)
|
100% |
56771
674.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
8257
63.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
104054
801.7 IPS |
|
|
Depth Estimation (Q)
|
85% |
164784
1.29 KIPS |
|
|
Style Transfer (SP)
|
100% |
23275
29.9 IPS |
|
|
Style Transfer (HP)
|
100% |
253864
326.3 IPS |
|
|
Style Transfer (Q)
|
96% |
349937
451.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5224
192.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
56145
2.07 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
84758
3.13 KIPS |
|
|
Text Classification (SP)
|
100% |
3520
4.70 KIPS |
|
|
Text Classification (HP)
|
99% |
6487
8.66 KIPS |
|
|
Text Classification (Q)
|
93% |
6414
8.61 KIPS |
|
|
Machine Translation (SP)
|
100% |
5310
91.5 IPS |
|
|
Machine Translation (HP)
|
100% |
11098
191.2 IPS |
|
|
Machine Translation (Q)
|
98% |
12306
212.7 IPS |
