iPhone18,1
Geekbench AI Score
5077
Single Precision Score
36494
Half Precision Score
49914
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| User | Pijiuhua |
| Upload Date | November 14 2025 10:44 AM |
| Views | 11 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | ARM |
| System Information | |
|---|---|
| Operating System | iOS 26.2 |
| 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% |
2175
404.5 IPS |
|
|
Image Classification (HP)
|
100% |
16118
3.00 KIPS |
|
|
Image Classification (Q)
|
97% |
22420
4.18 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2189
35.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
19483
315.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
24706
400.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
9640
11.2 IPS |
|
|
Pose Estimation (HP)
|
100% |
153087
178.6 IPS |
|
|
Pose Estimation (Q)
|
95% |
285661
334.8 IPS |
|
|
Object Detection (SP)
|
100% |
2556
202.7 IPS |
|
|
Object Detection (HP)
|
100% |
18389
1.46 KIPS |
|
|
Object Detection (Q)
|
91% |
25477
2.04 KIPS |
|
|
Face Detection (SP)
|
100% |
4442
52.8 IPS |
|
|
Face Detection (HP)
|
100% |
41245
490.1 IPS |
|
|
Face Detection (Q)
|
100% |
54373
646.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
8444
65.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
106149
817.8 IPS |
|
|
Depth Estimation (Q)
|
85% |
174209
1.36 KIPS |
|
|
Style Transfer (SP)
|
100% |
24411
31.4 IPS |
|
|
Style Transfer (HP)
|
100% |
258512
332.3 IPS |
|
|
Style Transfer (Q)
|
96% |
355432
458.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5626
207.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
58316
2.15 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
88783
3.28 KIPS |
|
|
Text Classification (SP)
|
100% |
3614
4.82 KIPS |
|
|
Text Classification (HP)
|
99% |
6564
8.76 KIPS |
|
|
Text Classification (Q)
|
93% |
6445
8.65 KIPS |
|
|
Machine Translation (SP)
|
100% |
5213
89.8 IPS |
|
|
Machine Translation (HP)
|
100% |
10941
188.5 IPS |
|
|
Machine Translation (Q)
|
98% |
12362
213.6 IPS |
