iPhone18,2
Geekbench AI Score
9109
Single Precision Score
16500
Half Precision Score
17062
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| User | mrxoom1974 |
| Upload Date | September 20 2025 08:25 PM |
| Views | 3 |
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 | 4.25 GHz |
| Cluster 1 | 2 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 11.42 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
4226
785.9 IPS |
|
|
Image Classification (HP)
|
100% |
8022
1.49 KIPS |
|
|
Image Classification (Q)
|
97% |
7570
1.41 KIPS |
|
|
Image Segmentation (SP)
|
100% |
6056
98.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
9504
154.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
10505
170.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
20231
23.6 IPS |
|
|
Pose Estimation (HP)
|
100% |
53942
62.9 IPS |
|
|
Pose Estimation (Q)
|
95% |
59008
69.2 IPS |
|
|
Object Detection (SP)
|
100% |
4393
348.4 IPS |
|
|
Object Detection (HP)
|
100% |
8102
642.7 IPS |
|
|
Object Detection (Q)
|
93% |
8034
640.9 IPS |
|
|
Face Detection (SP)
|
100% |
11538
137.1 IPS |
|
|
Face Detection (HP)
|
100% |
23121
274.7 IPS |
|
|
Face Detection (Q)
|
100% |
17658
209.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
17886
137.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
35319
272.1 IPS |
|
|
Depth Estimation (Q)
|
86% |
38036
297.0 IPS |
|
|
Style Transfer (SP)
|
100% |
43691
56.2 IPS |
|
|
Style Transfer (HP)
|
100% |
95157
122.3 IPS |
|
|
Style Transfer (Q)
|
96% |
119277
153.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
10410
384.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
18610
687.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
22218
820.4 IPS |
|
|
Text Classification (SP)
|
100% |
3524
4.70 KIPS |
|
|
Text Classification (HP)
|
99% |
6449
8.61 KIPS |
|
|
Text Classification (Q)
|
93% |
6434
8.64 KIPS |
|
|
Machine Translation (SP)
|
100% |
5232
90.1 IPS |
|
|
Machine Translation (HP)
|
100% |
4816
83.0 IPS |
|
|
Machine Translation (Q)
|
98% |
4844
83.7 IPS |
