iPhone18,1
Geekbench AI Score
5138
Single Precision Score
36291
Half Precision Score
48869
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | September 19 2025 06:52 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 | 4.25 GHz |
| Cluster 1 | 2 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 11.45 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2322
431.9 IPS |
|
|
Image Classification (HP)
|
100% |
16579
3.08 KIPS |
|
|
Image Classification (Q)
|
97% |
22143
4.13 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2129
34.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
20371
330.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
25689
416.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
10683
12.5 IPS |
|
|
Pose Estimation (HP)
|
100% |
158861
185.4 IPS |
|
|
Pose Estimation (Q)
|
95% |
290882
340.9 IPS |
|
|
Object Detection (SP)
|
100% |
2640
209.4 IPS |
|
|
Object Detection (HP)
|
100% |
17488
1.39 KIPS |
|
|
Object Detection (Q)
|
91% |
25092
2.00 KIPS |
|
|
Face Detection (SP)
|
100% |
4666
55.4 IPS |
|
|
Face Detection (HP)
|
100% |
40747
484.2 IPS |
|
|
Face Detection (Q)
|
100% |
54574
648.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
8431
65.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
105163
810.2 IPS |
|
|
Depth Estimation (Q)
|
85% |
161976
1.27 KIPS |
|
|
Style Transfer (SP)
|
100% |
24666
31.7 IPS |
|
|
Style Transfer (HP)
|
100% |
259499
333.6 IPS |
|
|
Style Transfer (Q)
|
96% |
350267
452.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5559
205.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
57208
2.11 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
85092
3.14 KIPS |
|
|
Text Classification (SP)
|
100% |
3242
4.33 KIPS |
|
|
Text Classification (HP)
|
99% |
5865
7.83 KIPS |
|
|
Text Classification (Q)
|
93% |
5816
7.81 KIPS |
|
|
Machine Translation (SP)
|
100% |
5262
90.6 IPS |
|
|
Machine Translation (HP)
|
100% |
11321
195.0 IPS |
|
|
Machine Translation (Q)
|
98% |
12212
211.0 IPS |
