iPhone18,2
Geekbench AI Score
4917
Single Precision Score
8060
Half Precision Score
6364
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | September 19 2025 07:40 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 | 4.12 GHz |
| Cluster 1 | 2 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 11.42 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2235
415.6 IPS |
|
|
Image Classification (HP)
|
100% |
3552
660.7 IPS |
|
|
Image Classification (Q)
|
96% |
2392
446.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
2092
33.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
2957
47.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
3355
54.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
10085
11.8 IPS |
|
|
Pose Estimation (HP)
|
100% |
17836
20.8 IPS |
|
|
Pose Estimation (Q)
|
95% |
15293
17.9 IPS |
|
|
Object Detection (SP)
|
100% |
2467
195.7 IPS |
|
|
Object Detection (HP)
|
97% |
3984
317.2 IPS |
|
|
Object Detection (Q)
|
94% |
2697
215.0 IPS |
|
|
Face Detection (SP)
|
100% |
4282
50.9 IPS |
|
|
Face Detection (HP)
|
100% |
7982
94.8 IPS |
|
|
Face Detection (Q)
|
100% |
4146
49.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
8093
62.4 IPS |
|
|
Depth Estimation (HP)
|
97% |
13464
104.1 IPS |
|
|
Depth Estimation (Q)
|
86% |
9502
74.2 IPS |
|
|
Style Transfer (SP)
|
100% |
22913
29.5 IPS |
|
|
Style Transfer (HP)
|
100% |
35728
45.9 IPS |
|
|
Style Transfer (Q)
|
96% |
29562
38.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5296
195.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6758
249.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4789
176.8 IPS |
|
|
Text Classification (SP)
|
100% |
3557
4.75 KIPS |
|
|
Text Classification (HP)
|
99% |
6419
8.57 KIPS |
|
|
Text Classification (Q)
|
93% |
6473
8.69 KIPS |
|
|
Machine Translation (SP)
|
100% |
4750
81.8 IPS |
|
|
Machine Translation (HP)
|
98% |
9318
161.0 IPS |
|
|
Machine Translation (Q)
|
98% |
9121
157.6 IPS |
