iPhone18,2
Geekbench AI Score
5226
Single Precision Score
36429
Half Precision Score
48687
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | November 17 2025 08:58 PM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| 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% |
2354
437.8 IPS |
|
|
Image Classification (HP)
|
100% |
16298
3.03 KIPS |
|
|
Image Classification (Q)
|
97% |
21559
4.02 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2135
34.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
20244
328.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
25554
414.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
10864
12.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
160201
186.9 IPS |
|
|
Pose Estimation (Q)
|
95% |
297939
349.2 IPS |
|
|
Object Detection (SP)
|
100% |
2683
212.8 IPS |
|
|
Object Detection (HP)
|
100% |
17912
1.42 KIPS |
|
|
Object Detection (Q)
|
91% |
25116
2.01 KIPS |
|
|
Face Detection (SP)
|
100% |
4723
56.1 IPS |
|
|
Face Detection (HP)
|
100% |
41113
488.5 IPS |
|
|
Face Detection (Q)
|
100% |
50045
594.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
8706
67.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
104643
806.2 IPS |
|
|
Depth Estimation (Q)
|
85% |
163541
1.28 KIPS |
|
|
Style Transfer (SP)
|
100% |
25656
33.0 IPS |
|
|
Style Transfer (HP)
|
100% |
259145
333.1 IPS |
|
|
Style Transfer (Q)
|
96% |
352964
455.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5684
209.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
57642
2.13 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
85058
3.14 KIPS |
|
|
Text Classification (SP)
|
100% |
3279
4.38 KIPS |
|
|
Text Classification (HP)
|
99% |
6118
8.17 KIPS |
|
|
Text Classification (Q)
|
93% |
6160
8.27 KIPS |
|
|
Machine Translation (SP)
|
100% |
5285
91.0 IPS |
|
|
Machine Translation (HP)
|
100% |
11060
190.5 IPS |
|
|
Machine Translation (Q)
|
98% |
11995
207.3 IPS |
