iPhone18,2
Geekbench AI Score
8738
Single Precision Score
16208
Half Precision Score
16583
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | October 28 2025 06:16 PM |
| Views | 6 |
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 | 3.30 GHz |
| Cluster 1 | 2 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 11.42 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
4247
789.7 IPS |
|
|
Image Classification (HP)
|
100% |
7042
1.31 KIPS |
|
|
Image Classification (Q)
|
97% |
6341
1.18 KIPS |
|
|
Image Segmentation (SP)
|
100% |
6069
98.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
9532
154.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
10469
169.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
20169
23.5 IPS |
|
|
Pose Estimation (HP)
|
100% |
53443
62.4 IPS |
|
|
Pose Estimation (Q)
|
95% |
58559
68.6 IPS |
|
|
Object Detection (SP)
|
100% |
4325
343.1 IPS |
|
|
Object Detection (HP)
|
100% |
8076
640.6 IPS |
|
|
Object Detection (Q)
|
93% |
8005
638.7 IPS |
|
|
Face Detection (SP)
|
100% |
11530
137.0 IPS |
|
|
Face Detection (HP)
|
100% |
22820
271.1 IPS |
|
|
Face Detection (Q)
|
100% |
17756
211.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
17895
137.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
34907
268.9 IPS |
|
|
Depth Estimation (Q)
|
86% |
38444
300.2 IPS |
|
|
Style Transfer (SP)
|
100% |
43237
55.6 IPS |
|
|
Style Transfer (HP)
|
100% |
96167
123.6 IPS |
|
|
Style Transfer (Q)
|
96% |
119580
154.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
10405
384.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
19305
712.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
21660
799.8 IPS |
|
|
Text Classification (SP)
|
100% |
2946
3.93 KIPS |
|
|
Text Classification (HP)
|
99% |
5492
7.33 KIPS |
|
|
Text Classification (Q)
|
93% |
5374
7.21 KIPS |
|
|
Machine Translation (SP)
|
100% |
4224
72.8 IPS |
|
|
Machine Translation (HP)
|
100% |
5319
91.6 IPS |
|
|
Machine Translation (Q)
|
98% |
5319
91.9 IPS |
