iPhone 17 Pro iPhone18,1
Geekbench AI Score
5089
Single Precision Score
36042
Half Precision Score
49187
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| User | andreasphh |
| Upload Date | October 12 2025 12:49 PM |
| Views | 2 |
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 | 4.25 GHz |
| Cluster 1 | 2 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 11.45 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2334
434.1 IPS |
|
|
Image Classification (HP)
|
100% |
16178
3.01 KIPS |
|
|
Image Classification (Q)
|
97% |
21422
4.00 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2107
34.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
20086
325.6 IPS |
|
|
Image Segmentation (Q)
|
99% |
25559
414.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
10288
12.0 IPS |
|
|
Pose Estimation (HP)
|
100% |
159536
186.2 IPS |
|
|
Pose Estimation (Q)
|
95% |
297066
348.2 IPS |
|
|
Object Detection (SP)
|
100% |
2611
207.1 IPS |
|
|
Object Detection (HP)
|
100% |
17180
1.36 KIPS |
|
|
Object Detection (Q)
|
91% |
24997
2.00 KIPS |
|
|
Face Detection (SP)
|
100% |
4628
55.0 IPS |
|
|
Face Detection (HP)
|
100% |
40014
475.5 IPS |
|
|
Face Detection (Q)
|
100% |
56147
667.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
8404
64.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
104672
806.4 IPS |
|
|
Depth Estimation (Q)
|
85% |
165871
1.30 KIPS |
|
|
Style Transfer (SP)
|
100% |
24651
31.7 IPS |
|
|
Style Transfer (HP)
|
100% |
259450
333.5 IPS |
|
|
Style Transfer (Q)
|
96% |
349568
451.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5442
201.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
55798
2.06 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
84685
3.13 KIPS |
|
|
Text Classification (SP)
|
100% |
3250
4.34 KIPS |
|
|
Text Classification (HP)
|
99% |
6152
8.21 KIPS |
|
|
Text Classification (Q)
|
93% |
6062
8.14 KIPS |
|
|
Machine Translation (SP)
|
100% |
5201
89.6 IPS |
|
|
Machine Translation (HP)
|
100% |
11135
191.8 IPS |
|
|
Machine Translation (Q)
|
98% |
12199
210.8 IPS |
