iPhone18,2
Geekbench AI Score
5111
Single Precision Score
36420
Half Precision Score
49737
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| User | Hillepille |
| Upload Date | September 19 2025 08:12 PM |
| Views | 9 |
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% |
2382
443.0 IPS |
|
|
Image Classification (HP)
|
100% |
16238
3.02 KIPS |
|
|
Image Classification (Q)
|
97% |
23867
4.45 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2105
34.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
19982
323.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
24791
401.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
10083
11.8 IPS |
|
|
Pose Estimation (HP)
|
100% |
157010
183.2 IPS |
|
|
Pose Estimation (Q)
|
95% |
285659
334.8 IPS |
|
|
Object Detection (SP)
|
100% |
2690
213.4 IPS |
|
|
Object Detection (HP)
|
100% |
17642
1.40 KIPS |
|
|
Object Detection (Q)
|
91% |
25062
2.00 KIPS |
|
|
Face Detection (SP)
|
100% |
4603
54.7 IPS |
|
|
Face Detection (HP)
|
100% |
41030
487.5 IPS |
|
|
Face Detection (Q)
|
100% |
55685
661.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
8487
65.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
104601
805.9 IPS |
|
|
Depth Estimation (Q)
|
85% |
174079
1.36 KIPS |
|
|
Style Transfer (SP)
|
100% |
24443
31.4 IPS |
|
|
Style Transfer (HP)
|
100% |
257234
330.7 IPS |
|
|
Style Transfer (Q)
|
96% |
353764
456.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5521
203.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
57652
2.13 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
85717
3.17 KIPS |
|
|
Text Classification (SP)
|
100% |
3274
4.37 KIPS |
|
|
Text Classification (HP)
|
99% |
6440
8.60 KIPS |
|
|
Text Classification (Q)
|
93% |
5954
7.99 KIPS |
|
|
Machine Translation (SP)
|
100% |
5187
89.3 IPS |
|
|
Machine Translation (HP)
|
100% |
11147
192.0 IPS |
|
|
Machine Translation (Q)
|
98% |
12497
216.0 IPS |
