iPhone18,3
Geekbench AI Score
8060
Single Precision Score
15613
Half Precision Score
15654
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | December 12 2025 04:34 AM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | ARM |
| System Information | |
|---|---|
| Operating System | iOS 26.1 |
| Model | iPhone18,3 |
| Model ID | iPhone18,3 |
| Motherboard | V57AP |
| 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 | 7.49 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
3682
684.8 IPS |
|
|
Image Classification (HP)
|
100% |
7314
1.36 KIPS |
|
|
Image Classification (Q)
|
97% |
6593
1.23 KIPS |
|
|
Image Segmentation (SP)
|
100% |
5040
81.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
8763
142.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
9063
146.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
18372
21.4 IPS |
|
|
Pose Estimation (HP)
|
100% |
49616
57.9 IPS |
|
|
Pose Estimation (Q)
|
95% |
57767
67.7 IPS |
|
|
Object Detection (SP)
|
100% |
3936
312.2 IPS |
|
|
Object Detection (HP)
|
100% |
7445
590.5 IPS |
|
|
Object Detection (Q)
|
93% |
6823
544.4 IPS |
|
|
Face Detection (SP)
|
100% |
9376
111.4 IPS |
|
|
Face Detection (HP)
|
100% |
19207
228.2 IPS |
|
|
Face Detection (Q)
|
100% |
14686
174.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
15801
121.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
33743
260.0 IPS |
|
|
Depth Estimation (Q)
|
86% |
35418
276.5 IPS |
|
|
Style Transfer (SP)
|
100% |
38804
49.9 IPS |
|
|
Style Transfer (HP)
|
100% |
90257
116.0 IPS |
|
|
Style Transfer (Q)
|
96% |
106098
136.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
9238
341.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
18323
676.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
19273
711.7 IPS |
|
|
Text Classification (SP)
|
100% |
3572
4.77 KIPS |
|
|
Text Classification (HP)
|
99% |
6353
8.48 KIPS |
|
|
Text Classification (Q)
|
93% |
6383
8.57 KIPS |
|
|
Machine Translation (SP)
|
100% |
4549
78.4 IPS |
|
|
Machine Translation (HP)
|
100% |
5340
92.0 IPS |
|
|
Machine Translation (Q)
|
98% |
5528
95.5 IPS |
