iPhone17,5
Geekbench AI Score
4101
Single Precision Score
6965
Half Precision Score
5536
Quantized Score
Geekbench AI 1.4.0 for iOS AArch64
Result Information
| User | StanH |
| Upload Date | August 21 2025 11:57 PM |
| Views | 8 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| 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% |
1976
367.4 IPS |
|
|
Image Classification (HP)
|
100% |
3253
604.9 IPS |
|
|
Image Classification (Q)
|
96% |
2208
412.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
1703
27.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
2706
43.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
3083
50.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
7930
9.25 IPS |
|
|
Pose Estimation (HP)
|
100% |
15952
18.6 IPS |
|
|
Pose Estimation (Q)
|
95% |
13439
15.8 IPS |
|
|
Object Detection (SP)
|
100% |
2088
165.6 IPS |
|
|
Object Detection (HP)
|
97% |
3463
275.7 IPS |
|
|
Object Detection (Q)
|
94% |
2424
193.2 IPS |
|
|
Face Detection (SP)
|
100% |
3220
38.3 IPS |
|
|
Face Detection (HP)
|
100% |
6366
75.6 IPS |
|
|
Face Detection (Q)
|
100% |
3601
42.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
7106
54.7 IPS |
|
|
Depth Estimation (HP)
|
97% |
12371
95.6 IPS |
|
|
Depth Estimation (Q)
|
86% |
8406
65.6 IPS |
|
|
Style Transfer (SP)
|
100% |
17066
21.9 IPS |
|
|
Style Transfer (HP)
|
100% |
33462
43.0 IPS |
|
|
Style Transfer (Q)
|
96% |
26062
33.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4737
174.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6768
249.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4591
169.5 IPS |
|
|
Text Classification (SP)
|
100% |
3705
4.95 KIPS |
|
|
Text Classification (HP)
|
99% |
6214
8.29 KIPS |
|
|
Text Classification (Q)
|
93% |
6207
8.33 KIPS |
|
|
Machine Translation (SP)
|
100% |
3532
60.8 IPS |
|
|
Machine Translation (HP)
|
98% |
4991
86.2 IPS |
|
|
Machine Translation (Q)
|
98% |
5427
93.8 IPS |
