iPhone17,5
Geekbench AI Score
4023
Single Precision Score
4395
Half Precision Score
4372
Quantized Score
Geekbench AI 1.4.0 for iOS AArch64
Result Information
| User | justintea |
| Upload Date | July 04 2025 06:57 PM |
| Views | 8 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | ARM |
| System Information | |
|---|---|
| Operating System | iOS 19.0 |
| 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% |
941
175.0 IPS |
|
|
Image Classification (HP)
|
100% |
806
149.8 IPS |
|
|
Image Classification (Q)
|
96% |
824
153.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
3200
51.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
3384
54.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
3262
52.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
10649
12.4 IPS |
|
|
Pose Estimation (HP)
|
100% |
11879
13.9 IPS |
|
|
Pose Estimation (Q)
|
96% |
11616
13.6 IPS |
|
|
Object Detection (SP)
|
100% |
1853
147.0 IPS |
|
|
Object Detection (HP)
|
100% |
1682
133.4 IPS |
|
|
Object Detection (Q)
|
92% |
2104
168.0 IPS |
|
|
Face Detection (SP)
|
100% |
6165
73.3 IPS |
|
|
Face Detection (HP)
|
100% |
7341
87.2 IPS |
|
|
Face Detection (Q)
|
100% |
5861
69.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
9797
75.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
10684
82.3 IPS |
|
|
Depth Estimation (Q)
|
86% |
9702
75.8 IPS |
|
|
Style Transfer (SP)
|
100% |
23854
30.7 IPS |
|
|
Style Transfer (HP)
|
100% |
26134
33.6 IPS |
|
|
Style Transfer (Q)
|
96% |
26015
33.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4062
150.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4017
148.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3908
144.3 IPS |
|
|
Text Classification (SP)
|
100% |
3559
4.75 KIPS |
|
|
Text Classification (HP)
|
99% |
5912
7.89 KIPS |
|
|
Text Classification (Q)
|
93% |
5833
7.83 KIPS |
|
|
Machine Translation (SP)
|
100% |
898
15.5 IPS |
|
|
Machine Translation (HP)
|
100% |
1015
17.5 IPS |
|
|
Machine Translation (Q)
|
98% |
1152
19.9 IPS |
