iPhone18,1
Geekbench AI Score
9126
Single Precision Score
16626
Half Precision Score
17073
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | November 05 2025 07:43 AM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | ARM |
| System Information | |
|---|---|
| Operating System | iOS 26.0.1 |
| 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% |
4279
795.8 IPS |
|
|
Image Classification (HP)
|
100% |
7945
1.48 KIPS |
|
|
Image Classification (Q)
|
97% |
7381
1.38 KIPS |
|
|
Image Segmentation (SP)
|
100% |
6112
99.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
9617
155.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
10600
171.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
20513
23.9 IPS |
|
|
Pose Estimation (HP)
|
100% |
54530
63.6 IPS |
|
|
Pose Estimation (Q)
|
95% |
59523
69.8 IPS |
|
|
Object Detection (SP)
|
100% |
4403
349.3 IPS |
|
|
Object Detection (HP)
|
100% |
8078
640.7 IPS |
|
|
Object Detection (Q)
|
93% |
8042
641.6 IPS |
|
|
Face Detection (SP)
|
100% |
11823
140.5 IPS |
|
|
Face Detection (HP)
|
100% |
23116
274.7 IPS |
|
|
Face Detection (Q)
|
100% |
17959
213.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
18131
139.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
35587
274.2 IPS |
|
|
Depth Estimation (Q)
|
86% |
39156
305.7 IPS |
|
|
Style Transfer (SP)
|
100% |
43685
56.2 IPS |
|
|
Style Transfer (HP)
|
100% |
96605
124.2 IPS |
|
|
Style Transfer (Q)
|
96% |
120979
156.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
10476
386.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
20270
748.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
22411
827.5 IPS |
|
|
Text Classification (SP)
|
100% |
3532
4.71 KIPS |
|
|
Text Classification (HP)
|
99% |
6433
8.59 KIPS |
|
|
Text Classification (Q)
|
93% |
6389
8.58 KIPS |
|
|
Machine Translation (SP)
|
100% |
4897
84.3 IPS |
|
|
Machine Translation (HP)
|
100% |
4630
79.8 IPS |
|
|
Machine Translation (Q)
|
98% |
4613
79.7 IPS |
