iPhone18,2
Geekbench AI Score
4912
Single Precision Score
8088
Half Precision Score
6213
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | October 21 2025 07:28 PM |
| Views | 6 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | ARM |
| System Information | |
|---|---|
| Operating System | iOS 26.0.1 |
| 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% |
2287
425.3 IPS |
|
|
Image Classification (HP)
|
100% |
3659
680.4 IPS |
|
|
Image Classification (Q)
|
96% |
2444
456.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
2139
34.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
3020
49.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
2670
43.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
8954
10.4 IPS |
|
|
Pose Estimation (HP)
|
100% |
17537
20.5 IPS |
|
|
Pose Estimation (Q)
|
95% |
14750
17.3 IPS |
|
|
Object Detection (SP)
|
100% |
2426
192.4 IPS |
|
|
Object Detection (HP)
|
97% |
3974
316.4 IPS |
|
|
Object Detection (Q)
|
94% |
2651
211.3 IPS |
|
|
Face Detection (SP)
|
100% |
4256
50.6 IPS |
|
|
Face Detection (HP)
|
100% |
7933
94.3 IPS |
|
|
Face Detection (Q)
|
100% |
4107
48.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
8189
63.1 IPS |
|
|
Depth Estimation (HP)
|
97% |
13744
106.2 IPS |
|
|
Depth Estimation (Q)
|
86% |
9544
74.5 IPS |
|
|
Style Transfer (SP)
|
100% |
23507
30.2 IPS |
|
|
Style Transfer (HP)
|
100% |
36915
47.5 IPS |
|
|
Style Transfer (Q)
|
96% |
30168
38.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5398
199.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6687
246.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4866
179.7 IPS |
|
|
Text Classification (SP)
|
100% |
3531
4.71 KIPS |
|
|
Text Classification (HP)
|
99% |
6457
8.62 KIPS |
|
|
Text Classification (Q)
|
93% |
6482
8.70 KIPS |
|
|
Machine Translation (SP)
|
100% |
4936
85.0 IPS |
|
|
Machine Translation (HP)
|
98% |
8959
154.8 IPS |
|
|
Machine Translation (Q)
|
98% |
9014
155.8 IPS |
