iPhone18,2
Geekbench AI Score
5070
Single Precision Score
36462
Half Precision Score
49861
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| User | jimscard |
| Upload Date | September 22 2025 06:12 PM |
| Views | 5 |
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 | 4.25 GHz |
| Cluster 1 | 2 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 11.42 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2364
439.7 IPS |
|
|
Image Classification (HP)
|
100% |
16587
3.08 KIPS |
|
|
Image Classification (Q)
|
97% |
23050
4.30 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2107
34.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
19774
320.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
24303
394.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
10140
11.8 IPS |
|
|
Pose Estimation (HP)
|
100% |
154701
180.5 IPS |
|
|
Pose Estimation (Q)
|
95% |
285238
334.3 IPS |
|
|
Object Detection (SP)
|
100% |
2521
200.0 IPS |
|
|
Object Detection (HP)
|
100% |
17520
1.39 KIPS |
|
|
Object Detection (Q)
|
91% |
25103
2.01 KIPS |
|
|
Face Detection (SP)
|
100% |
4566
54.3 IPS |
|
|
Face Detection (HP)
|
100% |
40883
485.8 IPS |
|
|
Face Detection (Q)
|
100% |
54756
650.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
8353
64.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
104689
806.6 IPS |
|
|
Depth Estimation (Q)
|
85% |
176140
1.38 KIPS |
|
|
Style Transfer (SP)
|
100% |
24420
31.4 IPS |
|
|
Style Transfer (HP)
|
100% |
252771
324.9 IPS |
|
|
Style Transfer (Q)
|
96% |
351013
453.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5439
200.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
57870
2.14 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
85190
3.15 KIPS |
|
|
Text Classification (SP)
|
100% |
3597
4.80 KIPS |
|
|
Text Classification (HP)
|
99% |
6753
9.01 KIPS |
|
|
Text Classification (Q)
|
93% |
6599
8.86 KIPS |
|
|
Machine Translation (SP)
|
100% |
4844
83.4 IPS |
|
|
Machine Translation (HP)
|
100% |
11053
190.4 IPS |
|
|
Machine Translation (Q)
|
98% |
12442
215.0 IPS |
