iPhone18,1
Geekbench AI Score
5217
Single Precision Score
36242
Half Precision Score
49228
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | September 13 2025 07:05 PM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| 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 | 4.26 GHz |
| Cluster 1 | 2 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 11.45 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2350
437.0 IPS |
|
|
Image Classification (HP)
|
100% |
16717
3.11 KIPS |
|
|
Image Classification (Q)
|
97% |
22593
4.22 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2250
36.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
20313
329.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
25518
413.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
10442
12.2 IPS |
|
|
Pose Estimation (HP)
|
100% |
159849
186.5 IPS |
|
|
Pose Estimation (Q)
|
95% |
294044
344.6 IPS |
|
|
Object Detection (SP)
|
100% |
2688
213.3 IPS |
|
|
Object Detection (HP)
|
100% |
17495
1.39 KIPS |
|
|
Object Detection (Q)
|
91% |
25141
2.01 KIPS |
|
|
Face Detection (SP)
|
100% |
4695
55.8 IPS |
|
|
Face Detection (HP)
|
100% |
40985
487.0 IPS |
|
|
Face Detection (Q)
|
100% |
53203
632.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
8642
66.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
104461
804.8 IPS |
|
|
Depth Estimation (Q)
|
85% |
168132
1.31 KIPS |
|
|
Style Transfer (SP)
|
100% |
25339
32.6 IPS |
|
|
Style Transfer (HP)
|
100% |
259713
333.9 IPS |
|
|
Style Transfer (Q)
|
96% |
351324
453.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5696
210.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
56875
2.10 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
85454
3.16 KIPS |
|
|
Text Classification (SP)
|
100% |
3226
4.31 KIPS |
|
|
Text Classification (HP)
|
99% |
5776
7.71 KIPS |
|
|
Text Classification (Q)
|
93% |
5958
8.00 KIPS |
|
|
Machine Translation (SP)
|
100% |
5336
91.9 IPS |
|
|
Machine Translation (HP)
|
100% |
11273
194.2 IPS |
|
|
Machine Translation (Q)
|
98% |
12257
211.8 IPS |
