iPhone18,2
Geekbench AI Score
5033
Single Precision Score
35908
Half Precision Score
48783
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| User | TZBQWEAS |
| Upload Date | October 07 2025 07:50 AM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | ARM |
| System Information | |
|---|---|
| Operating System | iOS 26.0.1 |
| 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% |
2340
435.1 IPS |
|
|
Image Classification (HP)
|
100% |
15637
2.91 KIPS |
|
|
Image Classification (Q)
|
97% |
21795
4.07 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2132
34.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
20001
324.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
24249
393.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
9514
11.1 IPS |
|
|
Pose Estimation (HP)
|
100% |
146216
170.6 IPS |
|
|
Pose Estimation (Q)
|
95% |
273908
321.0 IPS |
|
|
Object Detection (SP)
|
100% |
2524
200.2 IPS |
|
|
Object Detection (HP)
|
100% |
17312
1.37 KIPS |
|
|
Object Detection (Q)
|
91% |
25205
2.01 KIPS |
|
|
Face Detection (SP)
|
100% |
4326
51.4 IPS |
|
|
Face Detection (HP)
|
100% |
41130
488.7 IPS |
|
|
Face Detection (Q)
|
100% |
52549
624.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
8371
64.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
103725
799.1 IPS |
|
|
Depth Estimation (Q)
|
85% |
168436
1.32 KIPS |
|
|
Style Transfer (SP)
|
100% |
23747
30.5 IPS |
|
|
Style Transfer (HP)
|
100% |
257665
331.2 IPS |
|
|
Style Transfer (Q)
|
96% |
350302
452.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5483
202.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
55429
2.05 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
84730
3.13 KIPS |
|
|
Text Classification (SP)
|
100% |
3532
4.71 KIPS |
|
|
Text Classification (HP)
|
99% |
6590
8.80 KIPS |
|
|
Text Classification (Q)
|
93% |
6401
8.59 KIPS |
|
|
Machine Translation (SP)
|
100% |
5233
90.1 IPS |
|
|
Machine Translation (HP)
|
100% |
11213
193.1 IPS |
|
|
Machine Translation (Q)
|
98% |
12442
215.0 IPS |
