iPhone18,1
Geekbench AI Score
5143
Single Precision Score
36348
Half Precision Score
49380
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | September 19 2025 06:18 PM |
| Views | 2 |
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% |
2351
437.2 IPS |
|
|
Image Classification (HP)
|
100% |
16636
3.09 KIPS |
|
|
Image Classification (Q)
|
97% |
22378
4.18 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2123
34.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
20407
330.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
25524
413.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
10540
12.3 IPS |
|
|
Pose Estimation (HP)
|
100% |
158155
184.5 IPS |
|
|
Pose Estimation (Q)
|
95% |
284814
333.8 IPS |
|
|
Object Detection (SP)
|
100% |
2646
209.9 IPS |
|
|
Object Detection (HP)
|
100% |
17539
1.39 KIPS |
|
|
Object Detection (Q)
|
91% |
25150
2.01 KIPS |
|
|
Face Detection (SP)
|
100% |
4599
54.6 IPS |
|
|
Face Detection (HP)
|
100% |
41226
489.9 IPS |
|
|
Face Detection (Q)
|
100% |
53907
640.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
8474
65.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
105157
810.2 IPS |
|
|
Depth Estimation (Q)
|
85% |
161435
1.26 KIPS |
|
|
Style Transfer (SP)
|
100% |
24718
31.8 IPS |
|
|
Style Transfer (HP)
|
100% |
258138
331.8 IPS |
|
|
Style Transfer (Q)
|
96% |
350574
452.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5636
208.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
56906
2.10 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
85768
3.17 KIPS |
|
|
Text Classification (SP)
|
100% |
3242
4.33 KIPS |
|
|
Text Classification (HP)
|
99% |
6101
8.14 KIPS |
|
|
Text Classification (Q)
|
93% |
6406
8.60 KIPS |
|
|
Machine Translation (SP)
|
100% |
5293
91.2 IPS |
|
|
Machine Translation (HP)
|
100% |
11004
189.5 IPS |
|
|
Machine Translation (Q)
|
98% |
12571
217.2 IPS |
