iPhone18,2
Geekbench AI Score
5112
Single Precision Score
8342
Half Precision Score
6576
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| User | TZBQWEAS |
| Upload Date | October 07 2025 07:44 AM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | ARM |
| System Information | |
|---|---|
| Operating System | iOS 26.0.1 |
| 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% |
2333
433.9 IPS |
|
|
Image Classification (HP)
|
100% |
3739
695.2 IPS |
|
|
Image Classification (Q)
|
96% |
2484
463.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
2110
34.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
2990
48.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
3429
55.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
10279
12.0 IPS |
|
|
Pose Estimation (HP)
|
100% |
18610
21.7 IPS |
|
|
Pose Estimation (Q)
|
95% |
15744
18.5 IPS |
|
|
Object Detection (SP)
|
100% |
2545
201.9 IPS |
|
|
Object Detection (HP)
|
97% |
4165
331.6 IPS |
|
|
Object Detection (Q)
|
94% |
2798
223.0 IPS |
|
|
Face Detection (SP)
|
100% |
4413
52.4 IPS |
|
|
Face Detection (HP)
|
100% |
8260
98.1 IPS |
|
|
Face Detection (Q)
|
100% |
4246
50.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
8431
65.0 IPS |
|
|
Depth Estimation (HP)
|
97% |
14129
109.2 IPS |
|
|
Depth Estimation (Q)
|
86% |
9942
77.6 IPS |
|
|
Style Transfer (SP)
|
100% |
24277
31.2 IPS |
|
|
Style Transfer (HP)
|
100% |
38594
49.6 IPS |
|
|
Style Transfer (Q)
|
96% |
31414
40.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5593
206.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6914
255.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4989
184.2 IPS |
|
|
Text Classification (SP)
|
100% |
3522
4.70 KIPS |
|
|
Text Classification (HP)
|
99% |
6424
8.57 KIPS |
|
|
Text Classification (Q)
|
93% |
6434
8.64 KIPS |
|
|
Machine Translation (SP)
|
100% |
5329
91.8 IPS |
|
|
Machine Translation (HP)
|
98% |
9424
162.8 IPS |
|
|
Machine Translation (Q)
|
98% |
9480
163.8 IPS |
