iPhone18,2
Geekbench AI Score
9101
Single Precision Score
16626
Half Precision Score
17042
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | September 23 2025 10:39 PM |
| Views | 1 |
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% |
4252
790.7 IPS |
|
|
Image Classification (HP)
|
100% |
8139
1.51 KIPS |
|
|
Image Classification (Q)
|
97% |
7593
1.42 KIPS |
|
|
Image Segmentation (SP)
|
100% |
6053
98.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
9521
154.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
10492
170.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
20179
23.5 IPS |
|
|
Pose Estimation (HP)
|
100% |
53594
62.5 IPS |
|
|
Pose Estimation (Q)
|
95% |
58186
68.2 IPS |
|
|
Object Detection (SP)
|
100% |
4403
349.2 IPS |
|
|
Object Detection (HP)
|
100% |
8078
640.7 IPS |
|
|
Object Detection (Q)
|
93% |
8039
641.3 IPS |
|
|
Face Detection (SP)
|
100% |
11656
138.5 IPS |
|
|
Face Detection (HP)
|
100% |
23139
274.9 IPS |
|
|
Face Detection (Q)
|
100% |
17956
213.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
17954
138.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
35551
273.9 IPS |
|
|
Depth Estimation (Q)
|
86% |
38315
299.2 IPS |
|
|
Style Transfer (SP)
|
100% |
43547
56.0 IPS |
|
|
Style Transfer (HP)
|
100% |
95132
122.3 IPS |
|
|
Style Transfer (Q)
|
96% |
119256
153.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
10406
384.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
19757
729.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
22360
825.6 IPS |
|
|
Text Classification (SP)
|
100% |
3499
4.67 KIPS |
|
|
Text Classification (HP)
|
99% |
6425
8.58 KIPS |
|
|
Text Classification (Q)
|
93% |
6392
8.58 KIPS |
|
|
Machine Translation (SP)
|
100% |
5143
88.6 IPS |
|
|
Machine Translation (HP)
|
100% |
4844
83.4 IPS |
|
|
Machine Translation (Q)
|
98% |
4731
81.8 IPS |
