iPhone18,1
Geekbench AI Score
5056
Single Precision Score
36450
Half Precision Score
49350
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| User | whitehatmatt |
| Upload Date | October 20 2025 04:10 AM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | ARM |
| System Information | |
|---|---|
| Operating System | iOS 26.0.1 |
| Model | iPhone18,1 |
| Model ID | iPhone18,1 |
| Motherboard | V53AP |
| CPU Information | |
|---|---|
| Name | ARM |
| Topology | 1 Processor, 6 Cores |
| Identifier | ARM |
| Base Frequency | 4.24 GHz |
| Cluster 1 | 2 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 11.45 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2339
435.0 IPS |
|
|
Image Classification (HP)
|
100% |
16816
3.13 KIPS |
|
|
Image Classification (Q)
|
97% |
22328
4.17 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2123
34.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
19771
320.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
24285
393.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
9909
11.6 IPS |
|
|
Pose Estimation (HP)
|
100% |
153363
178.9 IPS |
|
|
Pose Estimation (Q)
|
95% |
281298
329.7 IPS |
|
|
Object Detection (SP)
|
100% |
2595
205.8 IPS |
|
|
Object Detection (HP)
|
100% |
17941
1.42 KIPS |
|
|
Object Detection (Q)
|
91% |
25539
2.04 KIPS |
|
|
Face Detection (SP)
|
100% |
4474
53.2 IPS |
|
|
Face Detection (HP)
|
100% |
40352
479.5 IPS |
|
|
Face Detection (Q)
|
100% |
53986
641.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
8331
64.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
104289
803.5 IPS |
|
|
Depth Estimation (Q)
|
85% |
166481
1.30 KIPS |
|
|
Style Transfer (SP)
|
100% |
23845
30.7 IPS |
|
|
Style Transfer (HP)
|
100% |
258459
332.3 IPS |
|
|
Style Transfer (Q)
|
96% |
350324
452.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5360
197.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
55481
2.05 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
87136
3.22 KIPS |
|
|
Text Classification (SP)
|
100% |
3546
4.73 KIPS |
|
|
Text Classification (HP)
|
99% |
6469
8.63 KIPS |
|
|
Text Classification (Q)
|
93% |
6474
8.69 KIPS |
|
|
Machine Translation (SP)
|
100% |
5067
87.3 IPS |
|
|
Machine Translation (HP)
|
100% |
11595
199.7 IPS |
|
|
Machine Translation (Q)
|
98% |
12385
214.0 IPS |
