iPhone17,5
Geekbench AI Score
4119
Single Precision Score
7160
Half Precision Score
5673
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| Upload Date | April 04 2025 01:21 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | ARM |
| System Information | |
|---|---|
| Operating System | iOS 18.3.1 |
| 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% |
1958
364.2 IPS |
|
|
Image Classification (HP)
|
100% |
3172
590.0 IPS |
|
|
Image Classification (Q)
|
96% |
2210
412.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
1782
28.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
2849
46.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
3267
53.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
8215
9.59 IPS |
|
|
Pose Estimation (HP)
|
100% |
17007
19.8 IPS |
|
|
Pose Estimation (Q)
|
95% |
14489
17.0 IPS |
|
|
Object Detection (SP)
|
100% |
1933
153.3 IPS |
|
|
Object Detection (HP)
|
97% |
3568
284.1 IPS |
|
|
Object Detection (Q)
|
94% |
2506
199.7 IPS |
|
|
Face Detection (SP)
|
100% |
3143
37.4 IPS |
|
|
Face Detection (HP)
|
100% |
6727
79.9 IPS |
|
|
Face Detection (Q)
|
100% |
3800
45.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
6860
52.9 IPS |
|
|
Depth Estimation (HP)
|
97% |
13006
100.5 IPS |
|
|
Depth Estimation (Q)
|
86% |
8789
68.6 IPS |
|
|
Style Transfer (SP)
|
100% |
20905
26.9 IPS |
|
|
Style Transfer (HP)
|
100% |
34006
43.7 IPS |
|
|
Style Transfer (Q)
|
96% |
27533
35.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4755
175.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6588
243.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4486
165.6 IPS |
|
|
Text Classification (SP)
|
100% |
3419
4.56 KIPS |
|
|
Text Classification (HP)
|
100% |
5849
7.81 KIPS |
|
|
Text Classification (Q)
|
93% |
6000
8.05 KIPS |
|
|
Machine Translation (SP)
|
100% |
3469
59.7 IPS |
|
|
Machine Translation (HP)
|
98% |
5634
97.3 IPS |
|
|
Machine Translation (Q)
|
98% |
5325
92.0 IPS |
