iPhone18,3
Geekbench AI Score
8005
Single Precision Score
15457
Half Precision Score
15350
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | September 13 2025 03:00 PM |
| Views | 7 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | ARM |
| System Information | |
|---|---|
| Operating System | iOS 26.0 |
| Model | iPhone18,3 |
| Model ID | iPhone18,3 |
| Motherboard | V57AP |
| CPU Information | |
|---|---|
| Name | ARM |
| Topology | 1 Processor, 6 Cores |
| Identifier | ARM |
| Base Frequency | 4.25 GHz |
| Cluster 1 | 2 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 7.49 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
3645
677.9 IPS |
|
|
Image Classification (HP)
|
100% |
7252
1.35 KIPS |
|
|
Image Classification (Q)
|
97% |
6410
1.20 KIPS |
|
|
Image Segmentation (SP)
|
100% |
5038
81.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
8744
141.7 IPS |
|
|
Image Segmentation (Q)
|
99% |
9080
147.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
18431
21.5 IPS |
|
|
Pose Estimation (HP)
|
100% |
51161
59.7 IPS |
|
|
Pose Estimation (Q)
|
95% |
58267
68.3 IPS |
|
|
Object Detection (SP)
|
100% |
3935
312.1 IPS |
|
|
Object Detection (HP)
|
100% |
7445
590.6 IPS |
|
|
Object Detection (Q)
|
93% |
6773
540.4 IPS |
|
|
Face Detection (SP)
|
100% |
9351
111.1 IPS |
|
|
Face Detection (HP)
|
100% |
19102
227.0 IPS |
|
|
Face Detection (Q)
|
100% |
14998
178.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
15900
122.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
34484
265.7 IPS |
|
|
Depth Estimation (Q)
|
86% |
35401
276.4 IPS |
|
|
Style Transfer (SP)
|
100% |
38835
49.9 IPS |
|
|
Style Transfer (HP)
|
100% |
91369
117.5 IPS |
|
|
Style Transfer (Q)
|
96% |
106405
137.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
9238
341.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
18486
682.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
19451
718.2 IPS |
|
|
Text Classification (SP)
|
100% |
3317
4.43 KIPS |
|
|
Text Classification (HP)
|
99% |
6252
8.34 KIPS |
|
|
Text Classification (Q)
|
93% |
6239
8.37 KIPS |
|
|
Machine Translation (SP)
|
100% |
4586
79.0 IPS |
|
|
Machine Translation (HP)
|
100% |
4634
79.8 IPS |
|
|
Machine Translation (Q)
|
98% |
4614
79.7 IPS |
