iPhone18,2
Geekbench AI Score
5142
Single Precision Score
36336
Half Precision Score
49184
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | September 22 2025 09:19 PM |
| Views | 1 |
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% |
2357
438.3 IPS |
|
|
Image Classification (HP)
|
100% |
16406
3.05 KIPS |
|
|
Image Classification (Q)
|
97% |
21157
3.95 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2137
34.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
20108
326.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
25830
418.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
10616
12.4 IPS |
|
|
Pose Estimation (HP)
|
100% |
160480
187.3 IPS |
|
|
Pose Estimation (Q)
|
95% |
298585
350.0 IPS |
|
|
Object Detection (SP)
|
100% |
2652
210.4 IPS |
|
|
Object Detection (HP)
|
100% |
17950
1.42 KIPS |
|
|
Object Detection (Q)
|
91% |
25203
2.01 KIPS |
|
|
Face Detection (SP)
|
100% |
4625
55.0 IPS |
|
|
Face Detection (HP)
|
100% |
40458
480.7 IPS |
|
|
Face Detection (Q)
|
100% |
51803
615.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
8401
64.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
106161
817.9 IPS |
|
|
Depth Estimation (Q)
|
85% |
171130
1.34 KIPS |
|
|
Style Transfer (SP)
|
100% |
24440
31.4 IPS |
|
|
Style Transfer (HP)
|
100% |
260342
334.7 IPS |
|
|
Style Transfer (Q)
|
96% |
351642
453.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5585
206.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
55897
2.06 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
87003
3.21 KIPS |
|
|
Text Classification (SP)
|
100% |
3269
4.36 KIPS |
|
|
Text Classification (HP)
|
99% |
6101
8.14 KIPS |
|
|
Text Classification (Q)
|
93% |
6167
8.28 KIPS |
|
|
Machine Translation (SP)
|
100% |
5257
90.6 IPS |
|
|
Machine Translation (HP)
|
100% |
11072
190.7 IPS |
|
|
Machine Translation (Q)
|
98% |
12044
208.1 IPS |
