iPhone18,2
Geekbench AI Score
4821
Single Precision Score
35874
Half Precision Score
48919
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| User | adrianclark |
| Upload Date | September 25 2025 04:38 AM |
| Views | 27 |
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% |
2304
428.5 IPS |
|
|
Image Classification (HP)
|
100% |
16255
3.02 KIPS |
|
|
Image Classification (Q)
|
97% |
21509
4.01 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1934
31.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
19384
314.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
24258
393.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
9240
10.8 IPS |
|
|
Pose Estimation (HP)
|
100% |
141929
165.6 IPS |
|
|
Pose Estimation (Q)
|
95% |
265234
310.9 IPS |
|
|
Object Detection (SP)
|
100% |
2456
194.8 IPS |
|
|
Object Detection (HP)
|
100% |
17375
1.38 KIPS |
|
|
Object Detection (Q)
|
91% |
25055
2.00 KIPS |
|
|
Face Detection (SP)
|
100% |
4107
48.8 IPS |
|
|
Face Detection (HP)
|
100% |
40649
483.0 IPS |
|
|
Face Detection (Q)
|
100% |
54783
650.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
8293
63.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
102952
793.2 IPS |
|
|
Depth Estimation (Q)
|
85% |
167942
1.31 KIPS |
|
|
Style Transfer (SP)
|
100% |
23246
29.9 IPS |
|
|
Style Transfer (HP)
|
100% |
258967
332.9 IPS |
|
|
Style Transfer (Q)
|
96% |
348867
450.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5144
189.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
59066
2.18 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
87949
3.25 KIPS |
|
|
Text Classification (SP)
|
100% |
3538
4.72 KIPS |
|
|
Text Classification (HP)
|
99% |
6379
8.51 KIPS |
|
|
Text Classification (Q)
|
93% |
6407
8.60 KIPS |
|
|
Machine Translation (SP)
|
100% |
4663
80.3 IPS |
|
|
Machine Translation (HP)
|
100% |
11128
191.7 IPS |
|
|
Machine Translation (Q)
|
98% |
12515
216.3 IPS |
