iPhone17,5
Geekbench AI Score
4179
Single Precision Score
7115
Half Precision Score
5769
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| User | gundar |
| Upload Date | March 27 2025 06:45 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | ARM |
| System Information | |
|---|---|
| Operating System | iOS 18.3.2 |
| Model | iPhone17,5 |
| Model ID | iPhone17,5 |
| Motherboard | V59AP |
| CPU Information | |
|---|---|
| Name | ARM |
| Topology | 1 Processor, 6 Cores |
| Identifier | ARM |
| Base Frequency | 4.03 GHz |
| Cluster 1 | 2 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 7.54 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1917
356.5 IPS |
|
|
Image Classification (HP)
|
100% |
3253
605.0 IPS |
|
|
Image Classification (Q)
|
96% |
2194
409.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
1783
28.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
2836
46.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
3241
52.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
8010
9.35 IPS |
|
|
Pose Estimation (HP)
|
100% |
16588
19.4 IPS |
|
|
Pose Estimation (Q)
|
95% |
14021
16.4 IPS |
|
|
Object Detection (SP)
|
100% |
2017
160.0 IPS |
|
|
Object Detection (HP)
|
97% |
3649
290.5 IPS |
|
|
Object Detection (Q)
|
94% |
2549
203.2 IPS |
|
|
Face Detection (SP)
|
100% |
3207
38.1 IPS |
|
|
Face Detection (HP)
|
100% |
6829
81.1 IPS |
|
|
Face Detection (Q)
|
100% |
3861
45.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
7072
54.5 IPS |
|
|
Depth Estimation (HP)
|
97% |
13321
103.0 IPS |
|
|
Depth Estimation (Q)
|
86% |
9104
71.1 IPS |
|
|
Style Transfer (SP)
|
100% |
21615
27.8 IPS |
|
|
Style Transfer (HP)
|
100% |
34889
44.8 IPS |
|
|
Style Transfer (Q)
|
96% |
28534
36.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5034
185.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6629
244.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4670
172.4 IPS |
|
|
Text Classification (SP)
|
100% |
3432
4.58 KIPS |
|
|
Text Classification (HP)
|
100% |
5932
7.92 KIPS |
|
|
Text Classification (Q)
|
93% |
6016
8.07 KIPS |
|
|
Machine Translation (SP)
|
100% |
3476
59.9 IPS |
|
|
Machine Translation (HP)
|
98% |
4771
82.4 IPS |
|
|
Machine Translation (Q)
|
98% |
5706
98.6 IPS |
