iPhone18,1
Geekbench AI Score
5001
Single Precision Score
36262
Half Precision Score
49620
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | October 25 2025 09:45 AM |
| Views | 2 |
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% |
16021
2.98 KIPS |
|
|
Image Classification (Q)
|
97% |
22183
4.14 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2058
33.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
19437
315.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
25418
412.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
9721
11.3 IPS |
|
|
Pose Estimation (HP)
|
100% |
153518
179.1 IPS |
|
|
Pose Estimation (Q)
|
95% |
294667
345.4 IPS |
|
|
Object Detection (SP)
|
100% |
2516
199.6 IPS |
|
|
Object Detection (HP)
|
100% |
17655
1.40 KIPS |
|
|
Object Detection (Q)
|
91% |
25292
2.02 KIPS |
|
|
Face Detection (SP)
|
100% |
4467
53.1 IPS |
|
|
Face Detection (HP)
|
100% |
41095
488.3 IPS |
|
|
Face Detection (Q)
|
100% |
50705
602.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
8332
64.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
104929
808.4 IPS |
|
|
Depth Estimation (Q)
|
85% |
178856
1.40 KIPS |
|
|
Style Transfer (SP)
|
100% |
24077
31.0 IPS |
|
|
Style Transfer (HP)
|
100% |
256556
329.8 IPS |
|
|
Style Transfer (Q)
|
96% |
352219
454.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5487
202.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
56681
2.09 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
85456
3.16 KIPS |
|
|
Text Classification (SP)
|
100% |
3549
4.74 KIPS |
|
|
Text Classification (HP)
|
99% |
6769
9.03 KIPS |
|
|
Text Classification (Q)
|
93% |
6524
8.76 KIPS |
|
|
Machine Translation (SP)
|
100% |
4744
81.7 IPS |
|
|
Machine Translation (HP)
|
100% |
10974
189.0 IPS |
|
|
Machine Translation (Q)
|
98% |
12092
209.0 IPS |
