iPhone18,1
Geekbench AI Score
5152
Single Precision Score
36211
Half Precision Score
49144
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| User | nathanjliu |
| Upload Date | September 20 2025 12:23 PM |
| Views | 4 |
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% |
16260
3.02 KIPS |
|
|
Image Classification (Q)
|
97% |
21702
4.05 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2106
34.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
20278
328.7 IPS |
|
|
Image Segmentation (Q)
|
99% |
24801
402.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
10097
11.8 IPS |
|
|
Pose Estimation (HP)
|
100% |
156238
182.3 IPS |
|
|
Pose Estimation (Q)
|
95% |
285276
334.4 IPS |
|
|
Object Detection (SP)
|
100% |
2645
209.8 IPS |
|
|
Object Detection (HP)
|
100% |
17708
1.40 KIPS |
|
|
Object Detection (Q)
|
91% |
25527
2.04 KIPS |
|
|
Face Detection (SP)
|
100% |
4579
54.4 IPS |
|
|
Face Detection (HP)
|
100% |
40308
478.9 IPS |
|
|
Face Detection (Q)
|
100% |
53399
634.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
8483
65.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
104971
808.7 IPS |
|
|
Depth Estimation (Q)
|
85% |
167236
1.31 KIPS |
|
|
Style Transfer (SP)
|
100% |
24806
31.9 IPS |
|
|
Style Transfer (HP)
|
100% |
256960
330.3 IPS |
|
|
Style Transfer (Q)
|
96% |
350789
452.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5613
207.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
57326
2.12 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
85749
3.17 KIPS |
|
|
Text Classification (SP)
|
100% |
3547
4.73 KIPS |
|
|
Text Classification (HP)
|
99% |
6111
8.16 KIPS |
|
|
Text Classification (Q)
|
93% |
6431
8.63 KIPS |
|
|
Machine Translation (SP)
|
100% |
5230
90.1 IPS |
|
|
Machine Translation (HP)
|
100% |
11157
192.2 IPS |
|
|
Machine Translation (Q)
|
98% |
12137
209.7 IPS |
