iPhone18,1
Geekbench AI Score
5114
Single Precision Score
36367
Half Precision Score
50071
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | September 19 2025 10:39 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% |
2348
436.7 IPS |
|
|
Image Classification (HP)
|
100% |
16356
3.04 KIPS |
|
|
Image Classification (Q)
|
97% |
22457
4.19 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2125
34.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
20025
324.6 IPS |
|
|
Image Segmentation (Q)
|
99% |
24822
402.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
10028
11.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
155400
181.3 IPS |
|
|
Pose Estimation (Q)
|
95% |
283209
331.9 IPS |
|
|
Object Detection (SP)
|
100% |
2577
204.4 IPS |
|
|
Object Detection (HP)
|
100% |
17955
1.42 KIPS |
|
|
Object Detection (Q)
|
91% |
25439
2.03 KIPS |
|
|
Face Detection (SP)
|
100% |
4571
54.3 IPS |
|
|
Face Detection (HP)
|
100% |
40566
482.0 IPS |
|
|
Face Detection (Q)
|
100% |
54837
651.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
8394
64.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
104698
806.6 IPS |
|
|
Depth Estimation (Q)
|
85% |
174491
1.36 KIPS |
|
|
Style Transfer (SP)
|
100% |
24287
31.2 IPS |
|
|
Style Transfer (HP)
|
100% |
255796
328.8 IPS |
|
|
Style Transfer (Q)
|
96% |
351986
454.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5521
203.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
56042
2.07 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
87687
3.24 KIPS |
|
|
Text Classification (SP)
|
100% |
3552
4.74 KIPS |
|
|
Text Classification (HP)
|
99% |
6582
8.79 KIPS |
|
|
Text Classification (Q)
|
93% |
6594
8.85 KIPS |
|
|
Machine Translation (SP)
|
100% |
5197
89.5 IPS |
|
|
Machine Translation (HP)
|
100% |
11051
190.4 IPS |
|
|
Machine Translation (Q)
|
98% |
12666
218.9 IPS |
