iPhone18,1
Geekbench AI Score
4914
Single Precision Score
35949
Half Precision Score
48740
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| User | sbeezy99 |
| Upload Date | November 13 2025 07:23 AM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| 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% |
2316
430.6 IPS |
|
|
Image Classification (HP)
|
100% |
16232
3.02 KIPS |
|
|
Image Classification (Q)
|
97% |
21590
4.03 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2030
32.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
20205
327.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
24236
392.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
9183
10.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
144492
168.6 IPS |
|
|
Pose Estimation (Q)
|
95% |
275434
322.8 IPS |
|
|
Object Detection (SP)
|
100% |
2450
194.3 IPS |
|
|
Object Detection (HP)
|
100% |
17800
1.41 KIPS |
|
|
Object Detection (Q)
|
91% |
25854
2.07 KIPS |
|
|
Face Detection (SP)
|
100% |
4179
49.7 IPS |
|
|
Face Detection (HP)
|
100% |
40745
484.1 IPS |
|
|
Face Detection (Q)
|
100% |
52196
620.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
8243
63.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
102504
789.7 IPS |
|
|
Depth Estimation (Q)
|
85% |
169517
1.33 KIPS |
|
|
Style Transfer (SP)
|
100% |
23342
30.0 IPS |
|
|
Style Transfer (HP)
|
100% |
252323
324.4 IPS |
|
|
Style Transfer (Q)
|
96% |
348075
449.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5379
198.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
56501
2.09 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
84440
3.12 KIPS |
|
|
Text Classification (SP)
|
100% |
3460
4.62 KIPS |
|
|
Text Classification (HP)
|
99% |
6409
8.55 KIPS |
|
|
Text Classification (Q)
|
93% |
6315
8.48 KIPS |
|
|
Machine Translation (SP)
|
100% |
5192
89.4 IPS |
|
|
Machine Translation (HP)
|
100% |
11199
192.9 IPS |
|
|
Machine Translation (Q)
|
98% |
12365
213.7 IPS |
