iPhone18,2
Geekbench AI Score
5213
Single Precision Score
36062
Half Precision Score
49512
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | October 07 2025 10:38 PM |
| Views | 5 |
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 | 11.42 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2355
438.0 IPS |
|
|
Image Classification (HP)
|
100% |
16024
2.98 KIPS |
|
|
Image Classification (Q)
|
97% |
22239
4.15 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2180
35.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
20132
326.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
25530
413.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
10630
12.4 IPS |
|
|
Pose Estimation (HP)
|
100% |
157926
184.3 IPS |
|
|
Pose Estimation (Q)
|
95% |
295001
345.8 IPS |
|
|
Object Detection (SP)
|
100% |
2671
211.9 IPS |
|
|
Object Detection (HP)
|
100% |
17459
1.38 KIPS |
|
|
Object Detection (Q)
|
91% |
25657
2.05 KIPS |
|
|
Face Detection (SP)
|
100% |
4689
55.7 IPS |
|
|
Face Detection (HP)
|
100% |
41088
488.2 IPS |
|
|
Face Detection (Q)
|
100% |
54319
645.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
8624
66.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
104396
804.3 IPS |
|
|
Depth Estimation (Q)
|
85% |
165641
1.30 KIPS |
|
|
Style Transfer (SP)
|
100% |
25210
32.4 IPS |
|
|
Style Transfer (HP)
|
100% |
259907
334.1 IPS |
|
|
Style Transfer (Q)
|
96% |
350827
452.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5679
209.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
56407
2.08 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
85525
3.16 KIPS |
|
|
Text Classification (SP)
|
100% |
3289
4.39 KIPS |
|
|
Text Classification (HP)
|
99% |
6120
8.17 KIPS |
|
|
Text Classification (Q)
|
93% |
6291
8.44 KIPS |
|
|
Machine Translation (SP)
|
100% |
5348
92.1 IPS |
|
|
Machine Translation (HP)
|
100% |
10866
187.2 IPS |
|
|
Machine Translation (Q)
|
98% |
12131
209.6 IPS |
