iPhone17,5
Geekbench AI Score
4192
Single Precision Score
32964
Half Precision Score
45887
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | November 08 2025 02:28 AM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | ARM |
| System Information | |
|---|---|
| Operating System | iOS 18.7.2 |
| Model | iPhone17,5 |
| Model ID | iPhone17,5 |
| Motherboard | V59AP |
| CPU Information | |
|---|---|
| Name | ARM |
| Topology | 1 Processor, 6 Cores |
| Identifier | ARM |
| Base Frequency | 4.04 GHz |
| Cluster 1 | 2 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 7.54 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2020
375.7 IPS |
|
|
Image Classification (HP)
|
100% |
15638
2.91 KIPS |
|
|
Image Classification (Q)
|
97% |
20832
3.89 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1776
28.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
18141
294.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
23810
386.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
7825
9.13 IPS |
|
|
Pose Estimation (HP)
|
100% |
141824
165.5 IPS |
|
|
Pose Estimation (Q)
|
95% |
293138
343.6 IPS |
|
|
Object Detection (SP)
|
100% |
2206
175.0 IPS |
|
|
Object Detection (HP)
|
100% |
16399
1.30 KIPS |
|
|
Object Detection (Q)
|
91% |
22714
1.81 KIPS |
|
|
Face Detection (SP)
|
100% |
3346
39.8 IPS |
|
|
Face Detection (HP)
|
100% |
40628
482.8 IPS |
|
|
Face Detection (Q)
|
100% |
55936
664.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
7402
57.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
95383
734.9 IPS |
|
|
Depth Estimation (Q)
|
85% |
159722
1.25 KIPS |
|
|
Style Transfer (SP)
|
100% |
16851
21.7 IPS |
|
|
Style Transfer (HP)
|
100% |
245667
315.8 IPS |
|
|
Style Transfer (Q)
|
96% |
306043
394.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4859
179.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
50247
1.86 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
84284
3.11 KIPS |
|
|
Text Classification (SP)
|
100% |
3422
4.57 KIPS |
|
|
Text Classification (HP)
|
100% |
4619
6.17 KIPS |
|
|
Text Classification (Q)
|
93% |
4645
6.23 KIPS |
|
|
Machine Translation (SP)
|
100% |
3906
67.3 IPS |
|
|
Machine Translation (HP)
|
100% |
10392
179.0 IPS |
|
|
Machine Translation (Q)
|
98% |
11709
202.3 IPS |
