iPhone18,3
Geekbench AI Score
7997
Single Precision Score
15363
Half Precision Score
15363
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | October 19 2025 05:40 PM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | ARM |
| System Information | |
|---|---|
| Operating System | iOS 26.0.1 |
| 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% |
3629
674.8 IPS |
|
|
Image Classification (HP)
|
100% |
7170
1.33 KIPS |
|
|
Image Classification (Q)
|
97% |
6444
1.20 KIPS |
|
|
Image Segmentation (SP)
|
100% |
5016
81.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
8782
142.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
9039
146.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
18130
21.2 IPS |
|
|
Pose Estimation (HP)
|
100% |
50715
59.2 IPS |
|
|
Pose Estimation (Q)
|
95% |
57958
67.9 IPS |
|
|
Object Detection (SP)
|
100% |
3925
311.3 IPS |
|
|
Object Detection (HP)
|
100% |
7415
588.2 IPS |
|
|
Object Detection (Q)
|
93% |
6794
542.0 IPS |
|
|
Face Detection (SP)
|
100% |
9362
111.2 IPS |
|
|
Face Detection (HP)
|
100% |
19244
228.7 IPS |
|
|
Face Detection (Q)
|
100% |
14655
174.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
15844
122.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
33735
259.9 IPS |
|
|
Depth Estimation (Q)
|
86% |
35281
275.5 IPS |
|
|
Style Transfer (SP)
|
100% |
37966
48.8 IPS |
|
|
Style Transfer (HP)
|
100% |
90702
116.6 IPS |
|
|
Style Transfer (Q)
|
96% |
106150
137.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
9303
343.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
18378
678.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
19472
719.0 IPS |
|
|
Text Classification (SP)
|
100% |
3473
4.64 KIPS |
|
|
Text Classification (HP)
|
99% |
6340
8.46 KIPS |
|
|
Text Classification (Q)
|
93% |
6516
8.74 KIPS |
|
|
Machine Translation (SP)
|
100% |
4539
78.2 IPS |
|
|
Machine Translation (HP)
|
100% |
4509
77.7 IPS |
|
|
Machine Translation (Q)
|
98% |
4587
79.3 IPS |
