iPhone18,1
Geekbench AI Score
4766
Single Precision Score
34921
Half Precision Score
46995
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | September 22 2025 08:30 PM |
| Views | 1 |
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% |
2309
429.3 IPS |
|
|
Image Classification (HP)
|
100% |
16546
3.08 KIPS |
|
|
Image Classification (Q)
|
97% |
22011
4.11 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2059
33.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
19503
316.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
24160
391.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
8929
10.4 IPS |
|
|
Pose Estimation (HP)
|
100% |
142581
166.4 IPS |
|
|
Pose Estimation (Q)
|
95% |
265165
310.8 IPS |
|
|
Object Detection (SP)
|
100% |
2413
191.4 IPS |
|
|
Object Detection (HP)
|
100% |
17547
1.39 KIPS |
|
|
Object Detection (Q)
|
91% |
25542
2.04 KIPS |
|
|
Face Detection (SP)
|
100% |
4134
49.1 IPS |
|
|
Face Detection (HP)
|
100% |
40481
481.0 IPS |
|
|
Face Detection (Q)
|
100% |
51880
616.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
8144
62.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
103855
800.1 IPS |
|
|
Depth Estimation (Q)
|
85% |
166969
1.31 KIPS |
|
|
Style Transfer (SP)
|
100% |
21578
27.7 IPS |
|
|
Style Transfer (HP)
|
100% |
220552
283.5 IPS |
|
|
Style Transfer (Q)
|
96% |
315713
407.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5233
193.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
55806
2.06 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
81673
3.02 KIPS |
|
|
Text Classification (SP)
|
100% |
3532
4.71 KIPS |
|
|
Text Classification (HP)
|
99% |
6400
8.54 KIPS |
|
|
Text Classification (Q)
|
93% |
6355
8.53 KIPS |
|
|
Machine Translation (SP)
|
100% |
4399
75.8 IPS |
|
|
Machine Translation (HP)
|
100% |
10087
173.8 IPS |
|
|
Machine Translation (Q)
|
98% |
10279
177.6 IPS |
