iPhone18,2
Geekbench AI Score
9210
Single Precision Score
17070
Half Precision Score
17641
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | November 11 2025 06:43 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | ARM |
| System Information | |
|---|---|
| Operating System | iOS 26.2 |
| Model | iPhone18,2 |
| Model ID | iPhone18,2 |
| Motherboard | V54AP |
| CPU Information | |
|---|---|
| Name | ARM |
| Topology | 1 Processor, 6 Cores |
| Identifier | ARM |
| Base Frequency | 4.20 GHz |
| Cluster 1 | 2 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 11.42 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
4319
803.2 IPS |
|
|
Image Classification (HP)
|
100% |
7903
1.47 KIPS |
|
|
Image Classification (Q)
|
97% |
7389
1.38 KIPS |
|
|
Image Segmentation (SP)
|
100% |
6163
99.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
9692
157.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
10675
173.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
20539
24.0 IPS |
|
|
Pose Estimation (HP)
|
100% |
54748
63.9 IPS |
|
|
Pose Estimation (Q)
|
95% |
59897
70.2 IPS |
|
|
Object Detection (SP)
|
100% |
4433
351.7 IPS |
|
|
Object Detection (HP)
|
100% |
8188
649.5 IPS |
|
|
Object Detection (Q)
|
93% |
8073
644.1 IPS |
|
|
Face Detection (SP)
|
100% |
11975
142.3 IPS |
|
|
Face Detection (HP)
|
100% |
23659
281.1 IPS |
|
|
Face Detection (Q)
|
100% |
18585
220.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
18247
140.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
36073
277.9 IPS |
|
|
Depth Estimation (Q)
|
86% |
39007
304.6 IPS |
|
|
Style Transfer (SP)
|
100% |
44718
57.5 IPS |
|
|
Style Transfer (HP)
|
100% |
96294
123.8 IPS |
|
|
Style Transfer (Q)
|
96% |
121826
157.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
10473
386.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
19293
712.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
22563
833.2 IPS |
|
|
Text Classification (SP)
|
100% |
3552
4.74 KIPS |
|
|
Text Classification (HP)
|
99% |
6338
8.46 KIPS |
|
|
Text Classification (Q)
|
93% |
6303
8.46 KIPS |
|
|
Machine Translation (SP)
|
100% |
4987
85.9 IPS |
|
|
Machine Translation (HP)
|
100% |
6089
104.9 IPS |
|
|
Machine Translation (Q)
|
98% |
6096
105.3 IPS |
