iPhone18,3
Geekbench AI Score
4653
Single Precision Score
7799
Half Precision Score
6194
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | October 21 2025 01:08 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| 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 | 4.25 GHz |
| Cluster 1 | 2 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 7.49 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2183
405.9 IPS |
|
|
Image Classification (HP)
|
100% |
3535
657.4 IPS |
|
|
Image Classification (Q)
|
96% |
2379
444.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
1821
29.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
2923
47.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
3281
53.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
9607
11.2 IPS |
|
|
Pose Estimation (HP)
|
100% |
18030
21.0 IPS |
|
|
Pose Estimation (Q)
|
95% |
15672
18.4 IPS |
|
|
Object Detection (SP)
|
100% |
2424
192.3 IPS |
|
|
Object Detection (HP)
|
97% |
3992
317.8 IPS |
|
|
Object Detection (Q)
|
94% |
2722
217.0 IPS |
|
|
Face Detection (SP)
|
100% |
3618
43.0 IPS |
|
|
Face Detection (HP)
|
100% |
7168
85.2 IPS |
|
|
Face Detection (Q)
|
100% |
3940
46.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
8127
62.6 IPS |
|
|
Depth Estimation (HP)
|
97% |
13649
105.5 IPS |
|
|
Depth Estimation (Q)
|
86% |
9625
75.1 IPS |
|
|
Style Transfer (SP)
|
100% |
21722
27.9 IPS |
|
|
Style Transfer (HP)
|
100% |
37964
48.8 IPS |
|
|
Style Transfer (Q)
|
96% |
30796
39.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5394
199.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6788
250.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4917
181.6 IPS |
|
|
Text Classification (SP)
|
100% |
3517
4.69 KIPS |
|
|
Text Classification (HP)
|
99% |
6476
8.64 KIPS |
|
|
Text Classification (Q)
|
93% |
6409
8.60 KIPS |
|
|
Machine Translation (SP)
|
100% |
4244
73.1 IPS |
|
|
Machine Translation (HP)
|
98% |
6859
118.5 IPS |
|
|
Machine Translation (Q)
|
98% |
6791
117.4 IPS |
