iPhone17,5
Geekbench AI Score
4310
Single Precision Score
7373
Half Precision Score
5895
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| Upload Date | April 13 2025 11:15 AM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | ARM |
| System Information | |
|---|---|
| Operating System | iOS 18.4 |
| 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% |
2027
377.0 IPS |
|
|
Image Classification (HP)
|
100% |
3249
604.2 IPS |
|
|
Image Classification (Q)
|
96% |
2215
413.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
1782
28.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
2749
44.6 IPS |
|
|
Image Segmentation (Q)
|
99% |
3208
52.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
8466
9.88 IPS |
|
|
Pose Estimation (HP)
|
100% |
17458
20.4 IPS |
|
|
Pose Estimation (Q)
|
95% |
14744
17.3 IPS |
|
|
Object Detection (SP)
|
100% |
2238
177.5 IPS |
|
|
Object Detection (HP)
|
97% |
3669
292.1 IPS |
|
|
Object Detection (Q)
|
94% |
2568
204.7 IPS |
|
|
Face Detection (SP)
|
100% |
3496
41.5 IPS |
|
|
Face Detection (HP)
|
100% |
6809
80.9 IPS |
|
|
Face Detection (Q)
|
100% |
3842
45.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
7679
59.2 IPS |
|
|
Depth Estimation (HP)
|
97% |
13618
105.3 IPS |
|
|
Depth Estimation (Q)
|
86% |
9400
73.4 IPS |
|
|
Style Transfer (SP)
|
100% |
18002
23.1 IPS |
|
|
Style Transfer (HP)
|
100% |
36144
46.5 IPS |
|
|
Style Transfer (Q)
|
96% |
29437
38.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5064
187.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
7150
264.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4941
182.5 IPS |
|
|
Text Classification (SP)
|
100% |
3405
4.54 KIPS |
|
|
Text Classification (HP)
|
100% |
5962
7.96 KIPS |
|
|
Text Classification (Q)
|
93% |
6039
8.10 KIPS |
|
|
Machine Translation (SP)
|
100% |
3879
66.8 IPS |
|
|
Machine Translation (HP)
|
98% |
5815
100.5 IPS |
|
|
Machine Translation (Q)
|
98% |
5940
102.7 IPS |
