iPhone18,2
Geekbench AI Score
9089
Single Precision Score
16648
Half Precision Score
17218
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| User | firecall |
| Upload Date | October 16 2025 01:16 AM |
| Views | 9 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| 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% |
4209
782.8 IPS |
|
|
Image Classification (HP)
|
100% |
7961
1.48 KIPS |
|
|
Image Classification (Q)
|
97% |
7558
1.41 KIPS |
|
|
Image Segmentation (SP)
|
100% |
6086
98.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
9528
154.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
10540
170.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
20379
23.8 IPS |
|
|
Pose Estimation (HP)
|
100% |
54197
63.2 IPS |
|
|
Pose Estimation (Q)
|
95% |
59526
69.8 IPS |
|
|
Object Detection (SP)
|
100% |
4402
349.2 IPS |
|
|
Object Detection (HP)
|
100% |
8071
640.2 IPS |
|
|
Object Detection (Q)
|
93% |
8049
642.1 IPS |
|
|
Face Detection (SP)
|
100% |
11711
139.2 IPS |
|
|
Face Detection (HP)
|
100% |
23129
274.8 IPS |
|
|
Face Detection (Q)
|
100% |
18212
216.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
17992
138.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
35055
270.1 IPS |
|
|
Depth Estimation (Q)
|
86% |
38292
299.0 IPS |
|
|
Style Transfer (SP)
|
100% |
43721
56.2 IPS |
|
|
Style Transfer (HP)
|
100% |
96087
123.5 IPS |
|
|
Style Transfer (Q)
|
96% |
120328
155.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
10416
384.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
19065
704.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
22539
832.2 IPS |
|
|
Text Classification (SP)
|
100% |
3533
4.72 KIPS |
|
|
Text Classification (HP)
|
99% |
6724
8.97 KIPS |
|
|
Text Classification (Q)
|
93% |
6468
8.68 KIPS |
|
|
Machine Translation (SP)
|
100% |
4939
85.1 IPS |
|
|
Machine Translation (HP)
|
100% |
4937
85.0 IPS |
|
|
Machine Translation (Q)
|
98% |
4905
84.8 IPS |
