iPhone18,3
Geekbench AI Score
8050
Single Precision Score
15689
Half Precision Score
15647
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | October 22 2025 07:19 AM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | ARM |
| System Information | |
|---|---|
| Operating System | iOS 26.1 |
| 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% |
3703
688.6 IPS |
|
|
Image Classification (HP)
|
100% |
7163
1.33 KIPS |
|
|
Image Classification (Q)
|
97% |
6423
1.20 KIPS |
|
|
Image Segmentation (SP)
|
100% |
5028
81.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
8754
141.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
9098
147.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
18422
21.5 IPS |
|
|
Pose Estimation (HP)
|
100% |
50987
59.5 IPS |
|
|
Pose Estimation (Q)
|
95% |
58075
68.1 IPS |
|
|
Object Detection (SP)
|
100% |
3939
312.4 IPS |
|
|
Object Detection (HP)
|
100% |
7422
588.7 IPS |
|
|
Object Detection (Q)
|
93% |
6786
541.3 IPS |
|
|
Face Detection (SP)
|
100% |
9300
110.5 IPS |
|
|
Face Detection (HP)
|
100% |
19137
227.4 IPS |
|
|
Face Detection (Q)
|
100% |
15024
178.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
15887
122.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
34355
264.7 IPS |
|
|
Depth Estimation (Q)
|
86% |
35396
276.4 IPS |
|
|
Style Transfer (SP)
|
100% |
38772
49.8 IPS |
|
|
Style Transfer (HP)
|
100% |
90608
116.5 IPS |
|
|
Style Transfer (Q)
|
96% |
106127
137.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
9229
340.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
18381
678.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
19443
718.0 IPS |
|
|
Text Classification (SP)
|
100% |
3531
4.71 KIPS |
|
|
Text Classification (HP)
|
99% |
6373
8.51 KIPS |
|
|
Text Classification (Q)
|
93% |
6377
8.56 KIPS |
|
|
Machine Translation (SP)
|
100% |
4535
78.1 IPS |
|
|
Machine Translation (HP)
|
100% |
5460
94.0 IPS |
|
|
Machine Translation (Q)
|
98% |
5462
94.4 IPS |
