iPhone18,2
Geekbench AI Score
9167
Single Precision Score
17105
Half Precision Score
17632
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | November 16 2025 03:58 AM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | ARM |
| System Information | |
|---|---|
| Operating System | iOS 26.1 |
| 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% |
4322
803.8 IPS |
|
|
Image Classification (HP)
|
100% |
8230
1.53 KIPS |
|
|
Image Classification (Q)
|
97% |
7539
1.41 KIPS |
|
|
Image Segmentation (SP)
|
100% |
6127
99.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
9619
155.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
10560
171.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
20483
23.9 IPS |
|
|
Pose Estimation (HP)
|
100% |
54631
63.7 IPS |
|
|
Pose Estimation (Q)
|
95% |
59612
69.9 IPS |
|
|
Object Detection (SP)
|
100% |
4405
349.4 IPS |
|
|
Object Detection (HP)
|
100% |
8080
640.9 IPS |
|
|
Object Detection (Q)
|
93% |
8116
647.5 IPS |
|
|
Face Detection (SP)
|
100% |
11877
141.1 IPS |
|
|
Face Detection (HP)
|
100% |
23541
279.7 IPS |
|
|
Face Detection (Q)
|
100% |
18164
215.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
18078
139.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
35464
273.2 IPS |
|
|
Depth Estimation (Q)
|
86% |
38913
303.8 IPS |
|
|
Style Transfer (SP)
|
100% |
44521
57.2 IPS |
|
|
Style Transfer (HP)
|
100% |
98356
126.4 IPS |
|
|
Style Transfer (Q)
|
96% |
121414
156.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
10501
387.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
19193
708.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
22689
837.8 IPS |
|
|
Text Classification (SP)
|
100% |
3521
4.70 KIPS |
|
|
Text Classification (HP)
|
99% |
6402
8.55 KIPS |
|
|
Text Classification (Q)
|
93% |
6349
8.52 KIPS |
|
|
Machine Translation (SP)
|
100% |
4967
85.6 IPS |
|
|
Machine Translation (HP)
|
100% |
6083
104.8 IPS |
|
|
Machine Translation (Q)
|
98% |
6100
105.4 IPS |
