iPhone18,2
Geekbench AI Score
5122
Single Precision Score
8344
Half Precision Score
6549
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| User | mrxoom1974 |
| Upload Date | September 20 2025 08:22 PM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| 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 | 4.25 GHz |
| Cluster 1 | 2 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 11.42 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2332
433.7 IPS |
|
|
Image Classification (HP)
|
100% |
3750
697.4 IPS |
|
|
Image Classification (Q)
|
96% |
2470
461.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
2145
34.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
2988
48.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
3424
55.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
10421
12.2 IPS |
|
|
Pose Estimation (HP)
|
100% |
18874
22.0 IPS |
|
|
Pose Estimation (Q)
|
95% |
15829
18.6 IPS |
|
|
Object Detection (SP)
|
100% |
2583
204.9 IPS |
|
|
Object Detection (HP)
|
97% |
4170
332.0 IPS |
|
|
Object Detection (Q)
|
94% |
2800
223.2 IPS |
|
|
Face Detection (SP)
|
100% |
4380
52.0 IPS |
|
|
Face Detection (HP)
|
100% |
7947
94.4 IPS |
|
|
Face Detection (Q)
|
100% |
4209
50.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
8454
65.1 IPS |
|
|
Depth Estimation (HP)
|
97% |
14182
109.6 IPS |
|
|
Depth Estimation (Q)
|
86% |
9627
75.1 IPS |
|
|
Style Transfer (SP)
|
100% |
24037
30.9 IPS |
|
|
Style Transfer (HP)
|
100% |
38728
49.8 IPS |
|
|
Style Transfer (Q)
|
96% |
31277
40.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5606
207.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6970
257.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5037
186.0 IPS |
|
|
Text Classification (SP)
|
100% |
3546
4.73 KIPS |
|
|
Text Classification (HP)
|
99% |
6427
8.58 KIPS |
|
|
Text Classification (Q)
|
93% |
6387
8.57 KIPS |
|
|
Machine Translation (SP)
|
100% |
5220
89.9 IPS |
|
|
Machine Translation (HP)
|
98% |
9488
164.0 IPS |
|
|
Machine Translation (Q)
|
98% |
9509
164.3 IPS |
