iPhone18,2
Geekbench AI Score
4867
Single Precision Score
8028
Half Precision Score
6251
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | September 19 2025 10:27 PM |
| Views | 2 |
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% |
2269
421.9 IPS |
|
|
Image Classification (HP)
|
100% |
3644
677.8 IPS |
|
|
Image Classification (Q)
|
96% |
2428
453.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
2077
33.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
2931
47.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
3184
51.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
9554
11.1 IPS |
|
|
Pose Estimation (HP)
|
100% |
17567
20.5 IPS |
|
|
Pose Estimation (Q)
|
95% |
14257
16.7 IPS |
|
|
Object Detection (SP)
|
100% |
2386
189.3 IPS |
|
|
Object Detection (HP)
|
97% |
3939
313.6 IPS |
|
|
Object Detection (Q)
|
94% |
2576
205.3 IPS |
|
|
Face Detection (SP)
|
100% |
4189
49.8 IPS |
|
|
Face Detection (HP)
|
100% |
7831
93.0 IPS |
|
|
Face Detection (Q)
|
100% |
3983
47.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
8043
62.0 IPS |
|
|
Depth Estimation (HP)
|
97% |
13231
102.3 IPS |
|
|
Depth Estimation (Q)
|
86% |
9514
74.3 IPS |
|
|
Style Transfer (SP)
|
100% |
23459
30.2 IPS |
|
|
Style Transfer (HP)
|
100% |
36794
47.3 IPS |
|
|
Style Transfer (Q)
|
96% |
29577
38.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5335
197.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6657
245.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4818
177.9 IPS |
|
|
Text Classification (SP)
|
100% |
3566
4.76 KIPS |
|
|
Text Classification (HP)
|
99% |
6478
8.65 KIPS |
|
|
Text Classification (Q)
|
93% |
6499
8.72 KIPS |
|
|
Machine Translation (SP)
|
100% |
4617
79.5 IPS |
|
|
Machine Translation (HP)
|
98% |
9153
158.2 IPS |
|
|
Machine Translation (Q)
|
98% |
9151
158.1 IPS |
