iPhone18,1
Geekbench AI Score
4984
Single Precision Score
36077
Half Precision Score
49041
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | October 29 2025 02:01 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% |
2343
435.6 IPS |
|
|
Image Classification (HP)
|
100% |
15742
2.93 KIPS |
|
|
Image Classification (Q)
|
97% |
21165
3.95 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2081
33.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
19738
320.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
24440
396.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
9625
11.2 IPS |
|
|
Pose Estimation (HP)
|
100% |
153215
178.8 IPS |
|
|
Pose Estimation (Q)
|
95% |
275675
323.1 IPS |
|
|
Object Detection (SP)
|
100% |
2523
200.2 IPS |
|
|
Object Detection (HP)
|
100% |
17750
1.41 KIPS |
|
|
Object Detection (Q)
|
91% |
24807
1.98 KIPS |
|
|
Face Detection (SP)
|
100% |
4212
50.1 IPS |
|
|
Face Detection (HP)
|
100% |
41002
487.2 IPS |
|
|
Face Detection (Q)
|
100% |
56200
667.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
8358
64.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
104950
808.6 IPS |
|
|
Depth Estimation (Q)
|
85% |
166075
1.30 KIPS |
|
|
Style Transfer (SP)
|
100% |
24199
31.1 IPS |
|
|
Style Transfer (HP)
|
100% |
254100
326.6 IPS |
|
|
Style Transfer (Q)
|
96% |
350027
451.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5362
198.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
55294
2.04 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
86966
3.21 KIPS |
|
|
Text Classification (SP)
|
100% |
3582
4.78 KIPS |
|
|
Text Classification (HP)
|
99% |
6479
8.65 KIPS |
|
|
Text Classification (Q)
|
93% |
6444
8.65 KIPS |
|
|
Machine Translation (SP)
|
100% |
4891
84.3 IPS |
|
|
Machine Translation (HP)
|
100% |
11286
194.4 IPS |
|
|
Machine Translation (Q)
|
98% |
12426
214.7 IPS |
