iPhone18,2
Geekbench AI Score
6414
Single Precision Score
10870
Half Precision Score
10616
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| User | Xabla |
| Upload Date | October 26 2025 12:42 PM |
| Views | 6 |
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 | 1.61 GHz |
| Cluster 1 | 2 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 11.42 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2896
538.5 IPS |
|
|
Image Classification (HP)
|
100% |
5838
1.09 KIPS |
|
|
Image Classification (Q)
|
97% |
5109
953.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
4643
75.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
7717
125.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
8702
141.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
20343
23.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
38089
44.4 IPS |
|
|
Pose Estimation (Q)
|
95% |
45061
52.8 IPS |
|
|
Object Detection (SP)
|
100% |
3160
250.7 IPS |
|
|
Object Detection (HP)
|
100% |
5811
460.9 IPS |
|
|
Object Detection (Q)
|
93% |
5107
407.4 IPS |
|
|
Face Detection (SP)
|
100% |
11251
133.7 IPS |
|
|
Face Detection (HP)
|
100% |
16708
198.5 IPS |
|
|
Face Detection (Q)
|
100% |
12726
151.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
13328
102.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
28428
219.0 IPS |
|
|
Depth Estimation (Q)
|
86% |
29401
229.6 IPS |
|
|
Style Transfer (SP)
|
100% |
44222
56.8 IPS |
|
|
Style Transfer (HP)
|
100% |
83973
107.9 IPS |
|
|
Style Transfer (Q)
|
96% |
97263
125.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
10319
381.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
17454
644.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
16692
616.4 IPS |
|
|
Text Classification (SP)
|
100% |
1381
1.84 KIPS |
|
|
Text Classification (HP)
|
99% |
2505
3.34 KIPS |
|
|
Text Classification (Q)
|
93% |
2487
3.34 KIPS |
|
|
Machine Translation (SP)
|
100% |
1443
24.9 IPS |
|
|
Machine Translation (HP)
|
100% |
1325
22.8 IPS |
|
|
Machine Translation (Q)
|
98% |
1177
20.3 IPS |
