iPhone18,1
Geekbench AI Score
9207
Single Precision Score
17089
Half Precision Score
17644
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | December 05 2025 05:37 AM |
| 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% |
4315
802.4 IPS |
|
|
Image Classification (HP)
|
100% |
8158
1.52 KIPS |
|
|
Image Classification (Q)
|
97% |
7472
1.39 KIPS |
|
|
Image Segmentation (SP)
|
100% |
6165
99.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
9688
157.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
10667
172.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
20553
24.0 IPS |
|
|
Pose Estimation (HP)
|
100% |
54764
63.9 IPS |
|
|
Pose Estimation (Q)
|
95% |
59963
70.3 IPS |
|
|
Object Detection (SP)
|
100% |
4434
351.7 IPS |
|
|
Object Detection (HP)
|
100% |
8233
653.1 IPS |
|
|
Object Detection (Q)
|
93% |
8171
651.8 IPS |
|
|
Face Detection (SP)
|
100% |
11971
142.2 IPS |
|
|
Face Detection (HP)
|
100% |
23532
279.6 IPS |
|
|
Face Detection (Q)
|
100% |
18305
217.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
18328
141.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
36055
277.8 IPS |
|
|
Depth Estimation (Q)
|
86% |
39800
310.7 IPS |
|
|
Style Transfer (SP)
|
100% |
44587
57.3 IPS |
|
|
Style Transfer (HP)
|
100% |
96464
124.0 IPS |
|
|
Style Transfer (Q)
|
96% |
121958
157.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
10576
390.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
19413
716.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
22658
836.6 IPS |
|
|
Text Classification (SP)
|
100% |
3520
4.70 KIPS |
|
|
Text Classification (HP)
|
99% |
6127
8.18 KIPS |
|
|
Text Classification (Q)
|
93% |
6110
8.20 KIPS |
|
|
Machine Translation (SP)
|
100% |
4958
85.4 IPS |
|
|
Machine Translation (HP)
|
100% |
6126
105.5 IPS |
|
|
Machine Translation (Q)
|
98% |
6090
105.2 IPS |
