iPhone18,1
Geekbench AI Score
8536
Single Precision Score
16663
Half Precision Score
15813
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | November 16 2025 10:44 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | ARM |
| System Information | |
|---|---|
| Operating System | iOS 26.1 |
| Model | iPhone18,1 |
| Model ID | iPhone18,1 |
| Motherboard | V53AP |
| 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 | 11.45 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
4353
809.6 IPS |
|
|
Image Classification (HP)
|
100% |
8076
1.50 KIPS |
|
|
Image Classification (Q)
|
97% |
7561
1.41 KIPS |
|
|
Image Segmentation (SP)
|
100% |
6183
100.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
9707
157.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
10666
172.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
20582
24.0 IPS |
|
|
Pose Estimation (HP)
|
100% |
54915
64.1 IPS |
|
|
Pose Estimation (Q)
|
95% |
60060
70.4 IPS |
|
|
Object Detection (SP)
|
100% |
4443
352.4 IPS |
|
|
Object Detection (HP)
|
100% |
8246
654.1 IPS |
|
|
Object Detection (Q)
|
93% |
8158
650.8 IPS |
|
|
Face Detection (SP)
|
100% |
12076
143.5 IPS |
|
|
Face Detection (HP)
|
100% |
23510
279.4 IPS |
|
|
Face Detection (Q)
|
100% |
18272
217.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
18340
141.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
35928
276.8 IPS |
|
|
Depth Estimation (Q)
|
86% |
39811
310.8 IPS |
|
|
Style Transfer (SP)
|
100% |
44472
57.2 IPS |
|
|
Style Transfer (HP)
|
100% |
96449
124.0 IPS |
|
|
Style Transfer (Q)
|
96% |
121240
156.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
10505
387.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
19359
714.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
22644
836.1 IPS |
|
|
Text Classification (SP)
|
100% |
3517
4.69 KIPS |
|
|
Text Classification (HP)
|
99% |
6441
8.60 KIPS |
|
|
Text Classification (Q)
|
93% |
6356
8.53 KIPS |
|
|
Machine Translation (SP)
|
100% |
2294
39.5 IPS |
|
|
Machine Translation (HP)
|
100% |
4578
78.9 IPS |
|
|
Machine Translation (Q)
|
98% |
1950
33.7 IPS |
