iPhone17,5
Geekbench AI Score
4128
Single Precision Score
7118
Half Precision Score
5576
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| Upload Date | April 23 2025 04:41 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% |
2004
372.7 IPS |
|
|
Image Classification (HP)
|
100% |
3237
602.0 IPS |
|
|
Image Classification (Q)
|
96% |
2194
409.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
1781
28.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
2721
44.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
3147
51.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
7936
9.26 IPS |
|
|
Pose Estimation (HP)
|
100% |
16030
18.7 IPS |
|
|
Pose Estimation (Q)
|
95% |
13328
15.6 IPS |
|
|
Object Detection (SP)
|
100% |
2094
166.1 IPS |
|
|
Object Detection (HP)
|
97% |
3541
281.9 IPS |
|
|
Object Detection (Q)
|
94% |
2354
187.6 IPS |
|
|
Face Detection (SP)
|
100% |
3274
38.9 IPS |
|
|
Face Detection (HP)
|
100% |
6416
76.2 IPS |
|
|
Face Detection (Q)
|
100% |
3591
42.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
7073
54.5 IPS |
|
|
Depth Estimation (HP)
|
97% |
12844
99.3 IPS |
|
|
Depth Estimation (Q)
|
86% |
8626
67.3 IPS |
|
|
Style Transfer (SP)
|
100% |
16881
21.7 IPS |
|
|
Style Transfer (HP)
|
100% |
33573
43.2 IPS |
|
|
Style Transfer (Q)
|
96% |
27249
35.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4719
174.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6971
257.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4628
170.9 IPS |
|
|
Text Classification (SP)
|
100% |
3388
4.52 KIPS |
|
|
Text Classification (HP)
|
100% |
5956
7.95 KIPS |
|
|
Text Classification (Q)
|
93% |
5844
7.84 KIPS |
|
|
Machine Translation (SP)
|
100% |
3878
66.8 IPS |
|
|
Machine Translation (HP)
|
98% |
5815
100.5 IPS |
|
|
Machine Translation (Q)
|
98% |
5885
101.7 IPS |
