iPhone18,2
Geekbench AI Score
5127
Single Precision Score
8356
Half Precision Score
6562
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | September 20 2025 12:37 AM |
| Views | 1 |
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 | 4.26 GHz |
| Cluster 1 | 2 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 11.42 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2320
431.5 IPS |
|
|
Image Classification (HP)
|
100% |
3709
689.7 IPS |
|
|
Image Classification (Q)
|
96% |
2465
460.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
2127
34.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
3033
49.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
3432
55.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
10469
12.2 IPS |
|
|
Pose Estimation (HP)
|
100% |
19002
22.2 IPS |
|
|
Pose Estimation (Q)
|
95% |
16143
18.9 IPS |
|
|
Object Detection (SP)
|
100% |
2574
204.2 IPS |
|
|
Object Detection (HP)
|
97% |
4125
328.4 IPS |
|
|
Object Detection (Q)
|
94% |
2827
225.4 IPS |
|
|
Face Detection (SP)
|
100% |
4545
54.0 IPS |
|
|
Face Detection (HP)
|
100% |
8342
99.1 IPS |
|
|
Face Detection (Q)
|
100% |
4294
51.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
8348
64.3 IPS |
|
|
Depth Estimation (HP)
|
97% |
14096
109.0 IPS |
|
|
Depth Estimation (Q)
|
86% |
9758
76.2 IPS |
|
|
Style Transfer (SP)
|
100% |
24325
31.3 IPS |
|
|
Style Transfer (HP)
|
100% |
37722
48.5 IPS |
|
|
Style Transfer (Q)
|
96% |
30865
39.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5464
201.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6832
252.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4933
182.2 IPS |
|
|
Text Classification (SP)
|
100% |
3549
4.74 KIPS |
|
|
Text Classification (HP)
|
99% |
6642
8.87 KIPS |
|
|
Text Classification (Q)
|
93% |
6381
8.56 KIPS |
|
|
Machine Translation (SP)
|
100% |
5281
91.0 IPS |
|
|
Machine Translation (HP)
|
98% |
9353
161.6 IPS |
|
|
Machine Translation (Q)
|
98% |
9428
162.9 IPS |
