iPhone18,1
Geekbench AI Score
4894
Single Precision Score
36315
Half Precision Score
50116
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | November 04 2025 08:39 PM |
| Views | 3 |
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% |
2349
436.8 IPS |
|
|
Image Classification (HP)
|
100% |
16630
3.09 KIPS |
|
|
Image Classification (Q)
|
97% |
22820
4.26 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2125
34.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
19719
319.7 IPS |
|
|
Image Segmentation (Q)
|
99% |
24220
392.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
9229
10.8 IPS |
|
|
Pose Estimation (HP)
|
100% |
148482
173.3 IPS |
|
|
Pose Estimation (Q)
|
95% |
276263
323.8 IPS |
|
|
Object Detection (SP)
|
100% |
2475
196.3 IPS |
|
|
Object Detection (HP)
|
100% |
17705
1.40 KIPS |
|
|
Object Detection (Q)
|
91% |
25349
2.03 KIPS |
|
|
Face Detection (SP)
|
100% |
4221
50.2 IPS |
|
|
Face Detection (HP)
|
100% |
41122
488.6 IPS |
|
|
Face Detection (Q)
|
100% |
60211
715.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
8097
62.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
102456
789.4 IPS |
|
|
Depth Estimation (Q)
|
85% |
169689
1.33 KIPS |
|
|
Style Transfer (SP)
|
100% |
22998
29.6 IPS |
|
|
Style Transfer (HP)
|
100% |
253804
326.3 IPS |
|
|
Style Transfer (Q)
|
96% |
347494
448.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5210
192.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
57103
2.11 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
86392
3.19 KIPS |
|
|
Text Classification (SP)
|
100% |
3543
4.73 KIPS |
|
|
Text Classification (HP)
|
99% |
6650
8.88 KIPS |
|
|
Text Classification (Q)
|
93% |
6643
8.92 KIPS |
|
|
Machine Translation (SP)
|
100% |
4771
82.2 IPS |
|
|
Machine Translation (HP)
|
100% |
11396
196.3 IPS |
|
|
Machine Translation (Q)
|
98% |
12673
219.0 IPS |
