iPhone17,5
Geekbench AI Score
4196
Single Precision Score
33197
Half Precision Score
46182
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| User | darkagarka |
| Upload Date | March 23 2025 01:45 AM |
| Views | 19 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| 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 | 4.04 GHz |
| Cluster 1 | 2 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 7.54 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1960
364.5 IPS |
|
|
Image Classification (HP)
|
100% |
15261
2.84 KIPS |
|
|
Image Classification (Q)
|
97% |
20633
3.85 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1816
29.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
18189
294.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
23703
384.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
8134
9.49 IPS |
|
|
Pose Estimation (HP)
|
100% |
150701
175.8 IPS |
|
|
Pose Estimation (Q)
|
95% |
293886
344.5 IPS |
|
|
Object Detection (SP)
|
100% |
2070
164.2 IPS |
|
|
Object Detection (HP)
|
100% |
16211
1.29 KIPS |
|
|
Object Detection (Q)
|
91% |
22337
1.78 KIPS |
|
|
Face Detection (SP)
|
100% |
3138
37.3 IPS |
|
|
Face Detection (HP)
|
100% |
41346
491.3 IPS |
|
|
Face Detection (Q)
|
100% |
57039
677.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
7017
54.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
95175
733.3 IPS |
|
|
Depth Estimation (Q)
|
85% |
160960
1.26 KIPS |
|
|
Style Transfer (SP)
|
100% |
21019
27.0 IPS |
|
|
Style Transfer (HP)
|
100% |
245188
315.2 IPS |
|
|
Style Transfer (Q)
|
96% |
303795
392.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5048
186.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
49913
1.84 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
82589
3.05 KIPS |
|
|
Text Classification (SP)
|
100% |
3411
4.55 KIPS |
|
|
Text Classification (HP)
|
100% |
5058
6.75 KIPS |
|
|
Text Classification (Q)
|
93% |
5163
6.93 KIPS |
|
|
Machine Translation (SP)
|
100% |
3546
61.1 IPS |
|
|
Machine Translation (HP)
|
100% |
9841
169.5 IPS |
|
|
Machine Translation (Q)
|
98% |
11558
199.7 IPS |
