iPhone 17 Pro iPhone18,1
Geekbench AI Score
5085
Single Precision Score
36045
Half Precision Score
48747
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| User | WrigleyBeard |
| Upload Date | September 21 2025 07:38 AM |
| Views | 9 |
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% |
2345
436.0 IPS |
|
|
Image Classification (HP)
|
100% |
16203
3.01 KIPS |
|
|
Image Classification (Q)
|
97% |
22132
4.13 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2116
34.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
20165
326.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
25249
409.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
10241
11.9 IPS |
|
|
Pose Estimation (HP)
|
100% |
156987
183.2 IPS |
|
|
Pose Estimation (Q)
|
95% |
287161
336.6 IPS |
|
|
Object Detection (SP)
|
100% |
2612
207.2 IPS |
|
|
Object Detection (HP)
|
100% |
17357
1.38 KIPS |
|
|
Object Detection (Q)
|
91% |
25183
2.01 KIPS |
|
|
Face Detection (SP)
|
100% |
4577
54.4 IPS |
|
|
Face Detection (HP)
|
100% |
40518
481.4 IPS |
|
|
Face Detection (Q)
|
100% |
54230
644.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
8389
64.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
104698
806.6 IPS |
|
|
Depth Estimation (Q)
|
85% |
166545
1.30 KIPS |
|
|
Style Transfer (SP)
|
100% |
24463
31.4 IPS |
|
|
Style Transfer (HP)
|
100% |
259341
333.4 IPS |
|
|
Style Transfer (Q)
|
96% |
352197
454.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5395
199.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
55425
2.05 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
85994
3.18 KIPS |
|
|
Text Classification (SP)
|
100% |
3239
4.32 KIPS |
|
|
Text Classification (HP)
|
99% |
6047
8.07 KIPS |
|
|
Text Classification (Q)
|
93% |
5760
7.73 KIPS |
|
|
Machine Translation (SP)
|
100% |
5314
91.5 IPS |
|
|
Machine Translation (HP)
|
100% |
11278
194.3 IPS |
|
|
Machine Translation (Q)
|
98% |
11902
205.7 IPS |
