iPhone18,2
Geekbench AI Score
9045
Single Precision Score
16297
Half Precision Score
17001
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| User | ESPD |
| Upload Date | September 20 2025 03:18 PM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| 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% |
4204
781.9 IPS |
|
|
Image Classification (HP)
|
100% |
7934
1.48 KIPS |
|
|
Image Classification (Q)
|
97% |
7478
1.40 KIPS |
|
|
Image Segmentation (SP)
|
100% |
5940
96.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
9386
152.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
10443
169.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
20065
23.4 IPS |
|
|
Pose Estimation (HP)
|
100% |
53199
62.1 IPS |
|
|
Pose Estimation (Q)
|
95% |
57564
67.5 IPS |
|
|
Object Detection (SP)
|
100% |
4381
347.5 IPS |
|
|
Object Detection (HP)
|
100% |
8075
640.5 IPS |
|
|
Object Detection (Q)
|
93% |
8054
642.5 IPS |
|
|
Face Detection (SP)
|
100% |
11550
137.2 IPS |
|
|
Face Detection (HP)
|
100% |
22890
272.0 IPS |
|
|
Face Detection (Q)
|
100% |
17757
211.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
17832
137.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
35358
272.4 IPS |
|
|
Depth Estimation (Q)
|
86% |
37978
296.5 IPS |
|
|
Style Transfer (SP)
|
100% |
43118
55.4 IPS |
|
|
Style Transfer (HP)
|
100% |
93465
120.2 IPS |
|
|
Style Transfer (Q)
|
96% |
119007
153.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
10402
384.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
18037
666.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
22169
818.6 IPS |
|
|
Text Classification (SP)
|
100% |
3519
4.70 KIPS |
|
|
Text Classification (HP)
|
99% |
6411
8.56 KIPS |
|
|
Text Classification (Q)
|
93% |
6557
8.80 KIPS |
|
|
Machine Translation (SP)
|
100% |
5137
88.5 IPS |
|
|
Machine Translation (HP)
|
100% |
4723
81.4 IPS |
|
|
Machine Translation (Q)
|
98% |
4777
82.5 IPS |
