iPhone18,2
Geekbench AI Score
9194
Single Precision Score
17078
Half Precision Score
17622
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| User | riotryan |
| Upload Date | October 31 2025 12:48 PM |
| Views | 2 |
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 | 4.25 GHz |
| Cluster 1 | 2 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 11.42 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
4333
805.7 IPS |
|
|
Image Classification (HP)
|
100% |
8090
1.50 KIPS |
|
|
Image Classification (Q)
|
97% |
7572
1.41 KIPS |
|
|
Image Segmentation (SP)
|
100% |
6156
99.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
9710
157.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
10650
172.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
20516
23.9 IPS |
|
|
Pose Estimation (HP)
|
100% |
54660
63.8 IPS |
|
|
Pose Estimation (Q)
|
95% |
59712
70.0 IPS |
|
|
Object Detection (SP)
|
100% |
4405
349.4 IPS |
|
|
Object Detection (HP)
|
100% |
8124
644.4 IPS |
|
|
Object Detection (Q)
|
93% |
8141
649.4 IPS |
|
|
Face Detection (SP)
|
100% |
11931
141.8 IPS |
|
|
Face Detection (HP)
|
100% |
23587
280.3 IPS |
|
|
Face Detection (Q)
|
100% |
18154
215.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
18258
140.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
36128
278.3 IPS |
|
|
Depth Estimation (Q)
|
86% |
39631
309.4 IPS |
|
|
Style Transfer (SP)
|
100% |
44600
57.3 IPS |
|
|
Style Transfer (HP)
|
100% |
96808
124.4 IPS |
|
|
Style Transfer (Q)
|
96% |
120886
156.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
10502
387.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
19488
719.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
22758
840.3 IPS |
|
|
Text Classification (SP)
|
100% |
3530
4.71 KIPS |
|
|
Text Classification (HP)
|
99% |
6168
8.23 KIPS |
|
|
Text Classification (Q)
|
93% |
6088
8.17 KIPS |
|
|
Machine Translation (SP)
|
100% |
4975
85.7 IPS |
|
|
Machine Translation (HP)
|
100% |
6104
105.1 IPS |
|
|
Machine Translation (Q)
|
98% |
6116
105.7 IPS |
