iPhone18,2
Geekbench AI Score
4470
Single Precision Score
7478
Half Precision Score
5924
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | October 24 2025 02:00 AM |
| Views | 1 |
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 | 4.21 GHz |
| Cluster 1 | 2 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 11.42 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2191
407.4 IPS |
|
|
Image Classification (HP)
|
100% |
3639
676.7 IPS |
|
|
Image Classification (Q)
|
96% |
2408
449.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
2036
33.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
2624
42.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
2956
47.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
8795
10.3 IPS |
|
|
Pose Estimation (HP)
|
100% |
15702
18.3 IPS |
|
|
Pose Estimation (Q)
|
95% |
14061
16.5 IPS |
|
|
Object Detection (SP)
|
100% |
2143
169.9 IPS |
|
|
Object Detection (HP)
|
97% |
3403
270.9 IPS |
|
|
Object Detection (Q)
|
94% |
2445
194.9 IPS |
|
|
Face Detection (SP)
|
100% |
3712
44.1 IPS |
|
|
Face Detection (HP)
|
100% |
6922
82.3 IPS |
|
|
Face Detection (Q)
|
100% |
3578
42.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
7018
54.1 IPS |
|
|
Depth Estimation (HP)
|
97% |
12563
97.1 IPS |
|
|
Depth Estimation (Q)
|
86% |
8853
69.1 IPS |
|
|
Style Transfer (SP)
|
100% |
20605
26.5 IPS |
|
|
Style Transfer (HP)
|
100% |
34499
44.3 IPS |
|
|
Style Transfer (Q)
|
96% |
28491
36.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4760
175.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6828
252.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4666
172.3 IPS |
|
|
Text Classification (SP)
|
100% |
3480
4.65 KIPS |
|
|
Text Classification (HP)
|
99% |
6472
8.64 KIPS |
|
|
Text Classification (Q)
|
93% |
6599
8.86 KIPS |
|
|
Machine Translation (SP)
|
100% |
4266
73.5 IPS |
|
|
Machine Translation (HP)
|
98% |
8093
139.8 IPS |
|
|
Machine Translation (Q)
|
98% |
7829
135.3 IPS |
