iPhone17,5
Geekbench AI Score
4137
Single Precision Score
4418
Half Precision Score
4315
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| User | Caliqo |
| Upload Date | October 08 2025 09:11 AM |
| Views | 7 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | ARM |
| System Information | |
|---|---|
| Operating System | iOS 26.0 |
| 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% |
915
170.2 IPS |
|
|
Image Classification (HP)
|
100% |
756
140.5 IPS |
|
|
Image Classification (Q)
|
96% |
774
144.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
3264
52.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
3351
54.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
3232
52.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
10682
12.5 IPS |
|
|
Pose Estimation (HP)
|
100% |
11867
13.8 IPS |
|
|
Pose Estimation (Q)
|
96% |
11591
13.6 IPS |
|
|
Object Detection (SP)
|
100% |
2005
159.0 IPS |
|
|
Object Detection (HP)
|
100% |
1885
149.5 IPS |
|
|
Object Detection (Q)
|
92% |
1994
159.1 IPS |
|
|
Face Detection (SP)
|
100% |
6334
75.3 IPS |
|
|
Face Detection (HP)
|
100% |
7389
87.8 IPS |
|
|
Face Detection (Q)
|
100% |
6048
71.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
9891
76.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
10369
79.9 IPS |
|
|
Depth Estimation (Q)
|
86% |
9761
76.2 IPS |
|
|
Style Transfer (SP)
|
100% |
24017
30.9 IPS |
|
|
Style Transfer (HP)
|
100% |
26348
33.9 IPS |
|
|
Style Transfer (Q)
|
96% |
26081
33.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4455
164.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
3582
132.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3808
140.6 IPS |
|
|
Text Classification (SP)
|
100% |
3711
4.95 KIPS |
|
|
Text Classification (HP)
|
99% |
6382
8.52 KIPS |
|
|
Text Classification (Q)
|
93% |
6224
8.35 KIPS |
|
|
Machine Translation (SP)
|
100% |
923
15.9 IPS |
|
|
Machine Translation (HP)
|
100% |
1085
18.7 IPS |
|
|
Machine Translation (Q)
|
98% |
1061
18.3 IPS |
