iPhone18,1
Geekbench AI Score
9166
Single Precision Score
16563
Half Precision Score
17097
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| User | ___ |
| Upload Date | September 19 2025 09:52 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | ARM |
| System Information | |
|---|---|
| Operating System | iOS 26.0 |
| Model | iPhone18,1 |
| Model ID | iPhone18,1 |
| Motherboard | V53AP |
| 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 | 11.45 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
4290
797.8 IPS |
|
|
Image Classification (HP)
|
100% |
8141
1.51 KIPS |
|
|
Image Classification (Q)
|
97% |
7492
1.40 KIPS |
|
|
Image Segmentation (SP)
|
100% |
6085
98.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
9558
154.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
10544
170.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
20323
23.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
53962
63.0 IPS |
|
|
Pose Estimation (Q)
|
95% |
58896
69.0 IPS |
|
|
Object Detection (SP)
|
100% |
4404
349.3 IPS |
|
|
Object Detection (HP)
|
100% |
8076
640.6 IPS |
|
|
Object Detection (Q)
|
93% |
8036
641.1 IPS |
|
|
Face Detection (SP)
|
100% |
11871
141.1 IPS |
|
|
Face Detection (HP)
|
100% |
23118
274.7 IPS |
|
|
Face Detection (Q)
|
100% |
17957
213.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
18048
139.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
35565
274.0 IPS |
|
|
Depth Estimation (Q)
|
86% |
38850
303.3 IPS |
|
|
Style Transfer (SP)
|
100% |
44154
56.8 IPS |
|
|
Style Transfer (HP)
|
100% |
95384
122.6 IPS |
|
|
Style Transfer (Q)
|
96% |
120040
154.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
10401
384.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
18798
694.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
22374
826.2 IPS |
|
|
Text Classification (SP)
|
100% |
3487
4.65 KIPS |
|
|
Text Classification (HP)
|
99% |
6401
8.54 KIPS |
|
|
Text Classification (Q)
|
93% |
6353
8.53 KIPS |
|
|
Machine Translation (SP)
|
100% |
5227
90.0 IPS |
|
|
Machine Translation (HP)
|
100% |
4856
83.6 IPS |
|
|
Machine Translation (Q)
|
98% |
4796
82.9 IPS |
