iPhone18,1
Geekbench AI Score
5117
Single Precision Score
36395
Half Precision Score
49347
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | September 19 2025 07:43 PM |
| 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% |
2335
434.3 IPS |
|
|
Image Classification (HP)
|
100% |
16637
3.09 KIPS |
|
|
Image Classification (Q)
|
97% |
22448
4.19 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2144
34.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
20038
324.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
25934
420.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
10116
11.8 IPS |
|
|
Pose Estimation (HP)
|
100% |
156304
182.4 IPS |
|
|
Pose Estimation (Q)
|
95% |
283531
332.3 IPS |
|
|
Object Detection (SP)
|
100% |
2606
206.7 IPS |
|
|
Object Detection (HP)
|
100% |
17305
1.37 KIPS |
|
|
Object Detection (Q)
|
91% |
25243
2.02 KIPS |
|
|
Face Detection (SP)
|
100% |
4497
53.4 IPS |
|
|
Face Detection (HP)
|
100% |
40985
487.0 IPS |
|
|
Face Detection (Q)
|
100% |
54173
643.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
8441
65.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
104110
802.1 IPS |
|
|
Depth Estimation (Q)
|
85% |
163524
1.28 KIPS |
|
|
Style Transfer (SP)
|
100% |
24264
31.2 IPS |
|
|
Style Transfer (HP)
|
100% |
258786
332.7 IPS |
|
|
Style Transfer (Q)
|
96% |
349914
451.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5401
199.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
57009
2.11 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
84916
3.14 KIPS |
|
|
Text Classification (SP)
|
100% |
3536
4.72 KIPS |
|
|
Text Classification (HP)
|
99% |
6412
8.56 KIPS |
|
|
Text Classification (Q)
|
93% |
6332
8.50 KIPS |
|
|
Machine Translation (SP)
|
100% |
5305
91.4 IPS |
|
|
Machine Translation (HP)
|
100% |
11205
193.0 IPS |
|
|
Machine Translation (Q)
|
98% |
12331
213.1 IPS |
