iPhone17,5
Geekbench AI Score
4152
Single Precision Score
6959
Half Precision Score
5528
Quantized Score
Geekbench AI 1.4.0 for iOS AArch64
Result Information
| User | StanH |
| Upload Date | August 15 2025 02:45 PM |
| Views | 10 |
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% |
1970
366.4 IPS |
|
|
Image Classification (HP)
|
100% |
3272
608.5 IPS |
|
|
Image Classification (Q)
|
96% |
2223
415.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
1713
27.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
2698
43.7 IPS |
|
|
Image Segmentation (Q)
|
99% |
3009
48.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
7766
9.06 IPS |
|
|
Pose Estimation (HP)
|
100% |
15266
17.8 IPS |
|
|
Pose Estimation (Q)
|
95% |
13225
15.5 IPS |
|
|
Object Detection (SP)
|
100% |
2099
166.5 IPS |
|
|
Object Detection (HP)
|
97% |
3498
278.5 IPS |
|
|
Object Detection (Q)
|
94% |
2424
193.2 IPS |
|
|
Face Detection (SP)
|
100% |
3265
38.8 IPS |
|
|
Face Detection (HP)
|
100% |
6434
76.5 IPS |
|
|
Face Detection (Q)
|
100% |
3585
42.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
7063
54.4 IPS |
|
|
Depth Estimation (HP)
|
97% |
12479
96.5 IPS |
|
|
Depth Estimation (Q)
|
86% |
8522
66.5 IPS |
|
|
Style Transfer (SP)
|
100% |
17902
23.0 IPS |
|
|
Style Transfer (HP)
|
100% |
33510
43.1 IPS |
|
|
Style Transfer (Q)
|
96% |
26916
34.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4755
175.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6698
247.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4638
171.3 IPS |
|
|
Text Classification (SP)
|
100% |
3690
4.93 KIPS |
|
|
Text Classification (HP)
|
99% |
6196
8.27 KIPS |
|
|
Text Classification (Q)
|
93% |
6198
8.32 KIPS |
|
|
Machine Translation (SP)
|
100% |
3828
65.9 IPS |
|
|
Machine Translation (HP)
|
98% |
5066
87.5 IPS |
|
|
Machine Translation (Q)
|
98% |
5266
91.0 IPS |
