iPhone18,2
Geekbench AI Score
5099
Single Precision Score
36289
Half Precision Score
49771
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| User | LulzSec |
| Upload Date | December 03 2025 06:40 AM |
| Views | 4 |
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 | 4.24 GHz |
| Cluster 1 | 2 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 11.42 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2302
428.1 IPS |
|
|
Image Classification (HP)
|
100% |
16222
3.02 KIPS |
|
|
Image Classification (Q)
|
97% |
21936
4.09 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2150
34.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
19872
322.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
25310
410.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
10106
11.8 IPS |
|
|
Pose Estimation (HP)
|
100% |
156041
182.1 IPS |
|
|
Pose Estimation (Q)
|
95% |
294109
344.7 IPS |
|
|
Object Detection (SP)
|
100% |
2650
210.2 IPS |
|
|
Object Detection (HP)
|
100% |
17776
1.41 KIPS |
|
|
Object Detection (Q)
|
91% |
25519
2.04 KIPS |
|
|
Face Detection (SP)
|
100% |
4560
54.2 IPS |
|
|
Face Detection (HP)
|
100% |
40653
483.0 IPS |
|
|
Face Detection (Q)
|
100% |
56664
673.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
8464
65.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
105460
812.5 IPS |
|
|
Depth Estimation (Q)
|
85% |
163859
1.28 KIPS |
|
|
Style Transfer (SP)
|
100% |
22936
29.5 IPS |
|
|
Style Transfer (HP)
|
100% |
258526
332.3 IPS |
|
|
Style Transfer (Q)
|
96% |
350934
452.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5444
201.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
56910
2.10 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
87977
3.25 KIPS |
|
|
Text Classification (SP)
|
100% |
3524
4.70 KIPS |
|
|
Text Classification (HP)
|
99% |
6494
8.67 KIPS |
|
|
Text Classification (Q)
|
93% |
6481
8.70 KIPS |
|
|
Machine Translation (SP)
|
100% |
5284
91.0 IPS |
|
|
Machine Translation (HP)
|
100% |
10814
186.3 IPS |
|
|
Machine Translation (Q)
|
98% |
12049
208.2 IPS |
