iPhone18,3
Geekbench AI Score
7974
Single Precision Score
15692
Half Precision Score
15544
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | December 22 2025 06:39 PM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | ARM |
| System Information | |
|---|---|
| Operating System | iOS 26.2 |
| 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% |
3660
680.7 IPS |
|
|
Image Classification (HP)
|
100% |
7435
1.38 KIPS |
|
|
Image Classification (Q)
|
97% |
6408
1.20 KIPS |
|
|
Image Segmentation (SP)
|
100% |
5038
81.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
8756
141.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
9095
147.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
18423
21.5 IPS |
|
|
Pose Estimation (HP)
|
100% |
50512
58.9 IPS |
|
|
Pose Estimation (Q)
|
95% |
58206
68.2 IPS |
|
|
Object Detection (SP)
|
100% |
3934
312.0 IPS |
|
|
Object Detection (HP)
|
100% |
7426
589.1 IPS |
|
|
Object Detection (Q)
|
93% |
6742
537.9 IPS |
|
|
Face Detection (SP)
|
100% |
9306
110.6 IPS |
|
|
Face Detection (HP)
|
100% |
19034
226.2 IPS |
|
|
Face Detection (Q)
|
100% |
14971
177.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
15854
122.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
33999
261.9 IPS |
|
|
Depth Estimation (Q)
|
86% |
35334
275.9 IPS |
|
|
Style Transfer (SP)
|
100% |
38772
49.8 IPS |
|
|
Style Transfer (HP)
|
100% |
90359
116.2 IPS |
|
|
Style Transfer (Q)
|
96% |
105655
136.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
9182
339.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
18433
680.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
19159
707.4 IPS |
|
|
Text Classification (SP)
|
100% |
3277
4.37 KIPS |
|
|
Text Classification (HP)
|
99% |
6255
8.35 KIPS |
|
|
Text Classification (Q)
|
93% |
6124
8.22 KIPS |
|
|
Machine Translation (SP)
|
100% |
4524
77.9 IPS |
|
|
Machine Translation (HP)
|
100% |
5500
94.7 IPS |
|
|
Machine Translation (Q)
|
98% |
5493
94.9 IPS |
