iPhone18,3
Geekbench AI Score
8057
Single Precision Score
15381
Half Precision Score
15337
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| User | Frankie_V |
| Upload Date | October 21 2025 01:37 PM |
| Views | 5 |
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% |
3655
679.8 IPS |
|
|
Image Classification (HP)
|
100% |
7194
1.34 KIPS |
|
|
Image Classification (Q)
|
97% |
6507
1.21 KIPS |
|
|
Image Segmentation (SP)
|
100% |
5040
81.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
8746
141.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
9067
147.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
18356
21.4 IPS |
|
|
Pose Estimation (HP)
|
100% |
50127
58.5 IPS |
|
|
Pose Estimation (Q)
|
95% |
58015
68.0 IPS |
|
|
Object Detection (SP)
|
100% |
3936
312.2 IPS |
|
|
Object Detection (HP)
|
100% |
7420
588.5 IPS |
|
|
Object Detection (Q)
|
93% |
6769
540.0 IPS |
|
|
Face Detection (SP)
|
100% |
9407
111.8 IPS |
|
|
Face Detection (HP)
|
100% |
19322
229.6 IPS |
|
|
Face Detection (Q)
|
100% |
14687
174.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
15864
122.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
33825
260.6 IPS |
|
|
Depth Estimation (Q)
|
86% |
35430
276.6 IPS |
|
|
Style Transfer (SP)
|
100% |
38930
50.0 IPS |
|
|
Style Transfer (HP)
|
100% |
90565
116.4 IPS |
|
|
Style Transfer (Q)
|
96% |
106239
137.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
9303
343.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
18385
678.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
19528
721.1 IPS |
|
|
Text Classification (SP)
|
100% |
3506
4.68 KIPS |
|
|
Text Classification (HP)
|
99% |
6360
8.49 KIPS |
|
|
Text Classification (Q)
|
93% |
6280
8.43 KIPS |
|
|
Machine Translation (SP)
|
100% |
4575
78.8 IPS |
|
|
Machine Translation (HP)
|
100% |
4577
78.8 IPS |
|
|
Machine Translation (Q)
|
98% |
4586
79.2 IPS |
