iPhone18,2
Geekbench AI Score
9056
Single Precision Score
17016
Half Precision Score
17568
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| User | jimscard |
| Upload Date | September 22 2025 08:40 PM |
| Views | 5 |
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 | 4.14 GHz |
| Cluster 1 | 2 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 11.42 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
4264
792.9 IPS |
|
|
Image Classification (HP)
|
100% |
7996
1.49 KIPS |
|
|
Image Classification (Q)
|
97% |
7445
1.39 KIPS |
|
|
Image Segmentation (SP)
|
100% |
6130
99.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
9621
156.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
10626
172.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
20439
23.8 IPS |
|
|
Pose Estimation (HP)
|
100% |
54447
63.5 IPS |
|
|
Pose Estimation (Q)
|
95% |
59880
70.2 IPS |
|
|
Object Detection (SP)
|
100% |
4403
349.3 IPS |
|
|
Object Detection (HP)
|
100% |
8274
656.3 IPS |
|
|
Object Detection (Q)
|
93% |
8090
645.4 IPS |
|
|
Face Detection (SP)
|
100% |
11782
140.0 IPS |
|
|
Face Detection (HP)
|
100% |
23140
275.0 IPS |
|
|
Face Detection (Q)
|
100% |
18341
217.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
18054
139.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
35608
274.3 IPS |
|
|
Depth Estimation (Q)
|
86% |
39102
305.3 IPS |
|
|
Style Transfer (SP)
|
100% |
43988
56.5 IPS |
|
|
Style Transfer (HP)
|
100% |
96513
124.1 IPS |
|
|
Style Transfer (Q)
|
96% |
120391
155.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
10418
384.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
19218
709.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
22589
834.1 IPS |
|
|
Text Classification (SP)
|
100% |
3269
4.36 KIPS |
|
|
Text Classification (HP)
|
99% |
6297
8.41 KIPS |
|
|
Text Classification (Q)
|
93% |
6090
8.17 KIPS |
|
|
Machine Translation (SP)
|
100% |
4951
85.3 IPS |
|
|
Machine Translation (HP)
|
100% |
6104
105.2 IPS |
|
|
Machine Translation (Q)
|
98% |
6153
106.3 IPS |
