iPhone18,3
Geekbench AI Score
8015
Single Precision Score
15713
Half Precision Score
15621
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | November 09 2025 01:24 AM |
| Views | 1 |
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% |
3673
683.0 IPS |
|
|
Image Classification (HP)
|
100% |
7178
1.33 KIPS |
|
|
Image Classification (Q)
|
97% |
6493
1.21 KIPS |
|
|
Image Segmentation (SP)
|
100% |
5021
81.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
8717
141.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
9077
147.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
18434
21.5 IPS |
|
|
Pose Estimation (HP)
|
100% |
51294
59.9 IPS |
|
|
Pose Estimation (Q)
|
95% |
58384
68.4 IPS |
|
|
Object Detection (SP)
|
100% |
3937
312.3 IPS |
|
|
Object Detection (HP)
|
100% |
7449
590.9 IPS |
|
|
Object Detection (Q)
|
93% |
6762
539.4 IPS |
|
|
Face Detection (SP)
|
100% |
9513
113.0 IPS |
|
|
Face Detection (HP)
|
100% |
19509
231.8 IPS |
|
|
Face Detection (Q)
|
100% |
15135
179.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
15954
122.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
34495
265.8 IPS |
|
|
Depth Estimation (Q)
|
86% |
35462
276.9 IPS |
|
|
Style Transfer (SP)
|
100% |
38991
50.1 IPS |
|
|
Style Transfer (HP)
|
100% |
91244
117.3 IPS |
|
|
Style Transfer (Q)
|
96% |
106387
137.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
9296
343.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
18528
684.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
19490
719.7 IPS |
|
|
Text Classification (SP)
|
100% |
3239
4.32 KIPS |
|
|
Text Classification (HP)
|
99% |
6230
8.31 KIPS |
|
|
Text Classification (Q)
|
93% |
6123
8.22 KIPS |
|
|
Machine Translation (SP)
|
100% |
4591
79.1 IPS |
|
|
Machine Translation (HP)
|
100% |
5417
93.3 IPS |
|
|
Machine Translation (Q)
|
98% |
5457
94.3 IPS |
