iPhone18,1
Geekbench AI Score
4852
Single Precision Score
36096
Half Precision Score
49331
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| User | skyzyx |
| Upload Date | September 20 2025 06:09 AM |
| Views | 1 |
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% |
2342
435.6 IPS |
|
|
Image Classification (HP)
|
100% |
16412
3.05 KIPS |
|
|
Image Classification (Q)
|
97% |
22022
4.11 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2076
33.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
19593
317.6 IPS |
|
|
Image Segmentation (Q)
|
99% |
24140
391.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
9175
10.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
146607
171.1 IPS |
|
|
Pose Estimation (Q)
|
95% |
271423
318.1 IPS |
|
|
Object Detection (SP)
|
100% |
2468
195.8 IPS |
|
|
Object Detection (HP)
|
100% |
18429
1.46 KIPS |
|
|
Object Detection (Q)
|
91% |
25551
2.04 KIPS |
|
|
Face Detection (SP)
|
100% |
4288
51.0 IPS |
|
|
Face Detection (HP)
|
100% |
40426
480.3 IPS |
|
|
Face Detection (Q)
|
100% |
53397
634.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
7428
57.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
102584
790.4 IPS |
|
|
Depth Estimation (Q)
|
85% |
174613
1.37 KIPS |
|
|
Style Transfer (SP)
|
100% |
22918
29.5 IPS |
|
|
Style Transfer (HP)
|
100% |
245311
315.4 IPS |
|
|
Style Transfer (Q)
|
96% |
350339
452.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5402
199.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
58154
2.15 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
86165
3.18 KIPS |
|
|
Text Classification (SP)
|
100% |
3604
4.81 KIPS |
|
|
Text Classification (HP)
|
99% |
6489
8.66 KIPS |
|
|
Text Classification (Q)
|
93% |
6585
8.84 KIPS |
|
|
Machine Translation (SP)
|
100% |
4626
79.7 IPS |
|
|
Machine Translation (HP)
|
100% |
11259
193.9 IPS |
|
|
Machine Translation (Q)
|
98% |
12492
215.9 IPS |
