iPhone18,2
Geekbench AI Score
8794
Single Precision Score
16410
Half Precision Score
16911
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | November 13 2025 03:50 AM |
| Views | 3 |
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% |
4109
764.1 IPS |
|
|
Image Classification (HP)
|
100% |
7375
1.37 KIPS |
|
|
Image Classification (Q)
|
97% |
6958
1.30 KIPS |
|
|
Image Segmentation (SP)
|
100% |
5964
96.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
9467
153.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
10421
168.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
20027
23.4 IPS |
|
|
Pose Estimation (HP)
|
100% |
53079
61.9 IPS |
|
|
Pose Estimation (Q)
|
95% |
57827
67.8 IPS |
|
|
Object Detection (SP)
|
100% |
4296
340.7 IPS |
|
|
Object Detection (HP)
|
100% |
8053
638.8 IPS |
|
|
Object Detection (Q)
|
93% |
7853
626.5 IPS |
|
|
Face Detection (SP)
|
100% |
11375
135.2 IPS |
|
|
Face Detection (HP)
|
100% |
22701
269.7 IPS |
|
|
Face Detection (Q)
|
100% |
17646
209.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
17729
136.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
35030
269.9 IPS |
|
|
Depth Estimation (Q)
|
86% |
37447
292.4 IPS |
|
|
Style Transfer (SP)
|
100% |
43322
55.7 IPS |
|
|
Style Transfer (HP)
|
100% |
94380
121.3 IPS |
|
|
Style Transfer (Q)
|
96% |
119070
153.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
10223
377.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
19516
720.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
21684
800.7 IPS |
|
|
Text Classification (SP)
|
100% |
3340
4.46 KIPS |
|
|
Text Classification (HP)
|
99% |
6114
8.16 KIPS |
|
|
Text Classification (Q)
|
93% |
6469
8.68 KIPS |
|
|
Machine Translation (SP)
|
100% |
4402
75.8 IPS |
|
|
Machine Translation (HP)
|
100% |
5301
91.3 IPS |
|
|
Machine Translation (Q)
|
98% |
5265
91.0 IPS |
