iPhone18,2
Geekbench AI Score
9000
Single Precision Score
16552
Half Precision Score
17059
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | November 09 2025 11:07 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 | 4.26 GHz |
| Cluster 1 | 2 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 11.42 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
4130
768.1 IPS |
|
|
Image Classification (HP)
|
100% |
7502
1.40 KIPS |
|
|
Image Classification (Q)
|
97% |
7029
1.31 KIPS |
|
|
Image Segmentation (SP)
|
100% |
6119
99.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
9625
156.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
10552
171.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
20437
23.8 IPS |
|
|
Pose Estimation (HP)
|
100% |
54168
63.2 IPS |
|
|
Pose Estimation (Q)
|
95% |
59079
69.2 IPS |
|
|
Object Detection (SP)
|
100% |
4403
349.3 IPS |
|
|
Object Detection (HP)
|
100% |
7895
626.2 IPS |
|
|
Object Detection (Q)
|
93% |
7991
637.5 IPS |
|
|
Face Detection (SP)
|
100% |
11700
139.0 IPS |
|
|
Face Detection (HP)
|
100% |
23093
274.4 IPS |
|
|
Face Detection (Q)
|
100% |
17840
212.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
18073
139.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
35381
272.6 IPS |
|
|
Depth Estimation (Q)
|
86% |
38445
300.2 IPS |
|
|
Style Transfer (SP)
|
100% |
43722
56.2 IPS |
|
|
Style Transfer (HP)
|
100% |
96099
123.5 IPS |
|
|
Style Transfer (Q)
|
96% |
120295
155.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
10405
384.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
19157
707.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
21840
806.5 IPS |
|
|
Text Classification (SP)
|
100% |
3522
4.70 KIPS |
|
|
Text Classification (HP)
|
99% |
6156
8.22 KIPS |
|
|
Text Classification (Q)
|
93% |
6122
8.22 KIPS |
|
|
Machine Translation (SP)
|
100% |
4529
78.0 IPS |
|
|
Machine Translation (HP)
|
100% |
5399
93.0 IPS |
|
|
Machine Translation (Q)
|
98% |
5404
93.4 IPS |
