iPhone18,2
Geekbench AI Score
5137
Single Precision Score
8315
Half Precision Score
6586
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | October 07 2025 02:58 PM |
| 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% |
2317
430.9 IPS |
|
|
Image Classification (HP)
|
100% |
3721
691.9 IPS |
|
|
Image Classification (Q)
|
96% |
2488
464.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
2117
34.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
3012
48.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
3420
55.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
10315
12.0 IPS |
|
|
Pose Estimation (HP)
|
100% |
19076
22.3 IPS |
|
|
Pose Estimation (Q)
|
95% |
16266
19.1 IPS |
|
|
Object Detection (SP)
|
100% |
2664
211.3 IPS |
|
|
Object Detection (HP)
|
97% |
4150
330.4 IPS |
|
|
Object Detection (Q)
|
94% |
2847
226.9 IPS |
|
|
Face Detection (SP)
|
100% |
4618
54.9 IPS |
|
|
Face Detection (HP)
|
100% |
8420
100.1 IPS |
|
|
Face Detection (Q)
|
100% |
4418
52.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
8505
65.5 IPS |
|
|
Depth Estimation (HP)
|
97% |
14279
110.4 IPS |
|
|
Depth Estimation (Q)
|
86% |
10176
79.4 IPS |
|
|
Style Transfer (SP)
|
100% |
24882
32.0 IPS |
|
|
Style Transfer (HP)
|
100% |
38521
49.5 IPS |
|
|
Style Transfer (Q)
|
96% |
31542
40.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5660
209.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6893
254.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5034
185.9 IPS |
|
|
Text Classification (SP)
|
100% |
3269
4.36 KIPS |
|
|
Text Classification (HP)
|
99% |
5983
7.99 KIPS |
|
|
Text Classification (Q)
|
93% |
5866
7.87 KIPS |
|
|
Machine Translation (SP)
|
100% |
5255
90.5 IPS |
|
|
Machine Translation (HP)
|
98% |
9328
161.2 IPS |
|
|
Machine Translation (Q)
|
98% |
9318
161.0 IPS |
