iPhone17,5
Geekbench AI Score
4293
Single Precision Score
7349
Half Precision Score
5827
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| Upload Date | September 13 2025 07:02 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | ARM |
| System Information | |
|---|---|
| Operating System | iOS 18.5 |
| 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% |
2023
376.1 IPS |
|
|
Image Classification (HP)
|
100% |
3225
599.8 IPS |
|
|
Image Classification (Q)
|
96% |
2202
411.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
1813
29.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
2802
45.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
3232
52.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
8463
9.88 IPS |
|
|
Pose Estimation (HP)
|
100% |
17258
20.1 IPS |
|
|
Pose Estimation (Q)
|
95% |
14473
17.0 IPS |
|
|
Object Detection (SP)
|
100% |
2203
174.7 IPS |
|
|
Object Detection (HP)
|
97% |
3675
292.6 IPS |
|
|
Object Detection (Q)
|
94% |
2550
203.2 IPS |
|
|
Face Detection (SP)
|
100% |
3495
41.5 IPS |
|
|
Face Detection (HP)
|
100% |
6761
80.3 IPS |
|
|
Face Detection (Q)
|
100% |
3814
45.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
7595
58.5 IPS |
|
|
Depth Estimation (HP)
|
97% |
13543
104.7 IPS |
|
|
Depth Estimation (Q)
|
86% |
9098
71.0 IPS |
|
|
Style Transfer (SP)
|
100% |
17720
22.8 IPS |
|
|
Style Transfer (HP)
|
100% |
35478
45.6 IPS |
|
|
Style Transfer (Q)
|
96% |
28707
37.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4917
181.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
7002
258.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4962
183.2 IPS |
|
|
Text Classification (SP)
|
100% |
3391
4.53 KIPS |
|
|
Text Classification (HP)
|
100% |
5932
7.92 KIPS |
|
|
Text Classification (Q)
|
93% |
5897
7.91 KIPS |
|
|
Machine Translation (SP)
|
100% |
3965
68.3 IPS |
|
|
Machine Translation (HP)
|
98% |
5944
102.7 IPS |
|
|
Machine Translation (Q)
|
98% |
5899
101.9 IPS |
