iPhone18,2
Geekbench AI Score
5152
Single Precision Score
8407
Half Precision Score
6635
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | November 03 2025 07:03 PM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| 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 | 4.26 GHz |
| Cluster 1 | 2 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 11.42 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2327
432.8 IPS |
|
|
Image Classification (HP)
|
100% |
3752
697.8 IPS |
|
|
Image Classification (Q)
|
96% |
2496
466.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
2088
33.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
3024
49.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
3458
56.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
10512
12.3 IPS |
|
|
Pose Estimation (HP)
|
100% |
19176
22.4 IPS |
|
|
Pose Estimation (Q)
|
95% |
16212
19.0 IPS |
|
|
Object Detection (SP)
|
100% |
2610
207.1 IPS |
|
|
Object Detection (HP)
|
97% |
4213
335.4 IPS |
|
|
Object Detection (Q)
|
94% |
2858
227.8 IPS |
|
|
Face Detection (SP)
|
100% |
4564
54.2 IPS |
|
|
Face Detection (HP)
|
100% |
8537
101.4 IPS |
|
|
Face Detection (Q)
|
100% |
4396
52.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
8465
65.2 IPS |
|
|
Depth Estimation (HP)
|
97% |
14251
110.2 IPS |
|
|
Depth Estimation (Q)
|
86% |
10052
78.5 IPS |
|
|
Style Transfer (SP)
|
100% |
24823
31.9 IPS |
|
|
Style Transfer (HP)
|
100% |
38179
49.1 IPS |
|
|
Style Transfer (Q)
|
96% |
31327
40.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5434
200.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6978
257.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4961
183.2 IPS |
|
|
Text Classification (SP)
|
100% |
3581
4.78 KIPS |
|
|
Text Classification (HP)
|
99% |
6367
8.50 KIPS |
|
|
Text Classification (Q)
|
93% |
6323
8.49 KIPS |
|
|
Machine Translation (SP)
|
100% |
5300
91.3 IPS |
|
|
Machine Translation (HP)
|
98% |
9327
161.2 IPS |
|
|
Machine Translation (Q)
|
98% |
9525
164.6 IPS |
