iPhone 17 Pro iPhone18,1
Geekbench AI Score
8817
Single Precision Score
15893
Half Precision Score
16611
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| User | andreasphh |
| Upload Date | October 12 2025 12:47 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| 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% |
4157
773.1 IPS |
|
|
Image Classification (HP)
|
100% |
7833
1.46 KIPS |
|
|
Image Classification (Q)
|
97% |
7483
1.40 KIPS |
|
|
Image Segmentation (SP)
|
100% |
5860
95.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
9192
149.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
10258
166.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
19662
22.9 IPS |
|
|
Pose Estimation (HP)
|
100% |
51780
60.4 IPS |
|
|
Pose Estimation (Q)
|
95% |
56304
66.0 IPS |
|
|
Object Detection (SP)
|
100% |
4265
338.3 IPS |
|
|
Object Detection (HP)
|
100% |
7872
624.4 IPS |
|
|
Object Detection (Q)
|
93% |
7979
636.5 IPS |
|
|
Face Detection (SP)
|
100% |
11243
133.6 IPS |
|
|
Face Detection (HP)
|
100% |
21879
260.0 IPS |
|
|
Face Detection (Q)
|
100% |
17524
208.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
17438
134.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
34235
263.8 IPS |
|
|
Depth Estimation (Q)
|
86% |
36739
286.8 IPS |
|
|
Style Transfer (SP)
|
100% |
42663
54.8 IPS |
|
|
Style Transfer (HP)
|
100% |
92563
119.0 IPS |
|
|
Style Transfer (Q)
|
96% |
115676
149.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
10149
374.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
17884
660.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
21624
798.5 IPS |
|
|
Text Classification (SP)
|
100% |
3256
4.35 KIPS |
|
|
Text Classification (HP)
|
99% |
6059
8.09 KIPS |
|
|
Text Classification (Q)
|
93% |
6166
8.28 KIPS |
|
|
Machine Translation (SP)
|
100% |
5031
86.7 IPS |
|
|
Machine Translation (HP)
|
100% |
4664
80.3 IPS |
|
|
Machine Translation (Q)
|
98% |
4672
80.7 IPS |
