iPhone17,5
Geekbench AI Score
3989
Single Precision Score
32869
Half Precision Score
46153
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| User | andreyshunt |
| Upload Date | May 17 2025 03:27 AM |
| Views | 11 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | ARM |
| System Information | |
|---|---|
| Operating System | iOS 18.3 |
| 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% |
1830
340.3 IPS |
|
|
Image Classification (HP)
|
100% |
15555
2.89 KIPS |
|
|
Image Classification (Q)
|
97% |
21426
4.00 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1651
26.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
18187
294.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
23851
386.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
7272
8.49 IPS |
|
|
Pose Estimation (HP)
|
100% |
143411
167.3 IPS |
|
|
Pose Estimation (Q)
|
95% |
294208
344.8 IPS |
|
|
Object Detection (SP)
|
100% |
1936
153.5 IPS |
|
|
Object Detection (HP)
|
100% |
16354
1.30 KIPS |
|
|
Object Detection (Q)
|
91% |
22683
1.81 KIPS |
|
|
Face Detection (SP)
|
100% |
3028
36.0 IPS |
|
|
Face Detection (HP)
|
100% |
40630
482.8 IPS |
|
|
Face Detection (Q)
|
100% |
57136
678.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
6935
53.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
95487
735.7 IPS |
|
|
Depth Estimation (Q)
|
85% |
161776
1.26 KIPS |
|
|
Style Transfer (SP)
|
100% |
20542
26.4 IPS |
|
|
Style Transfer (HP)
|
100% |
244875
314.8 IPS |
|
|
Style Transfer (Q)
|
96% |
305081
393.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4714
174.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
50725
1.87 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
84559
3.12 KIPS |
|
|
Text Classification (SP)
|
100% |
3465
4.62 KIPS |
|
|
Text Classification (HP)
|
100% |
4485
5.99 KIPS |
|
|
Text Classification (Q)
|
93% |
4590
6.16 KIPS |
|
|
Machine Translation (SP)
|
100% |
3404
58.6 IPS |
|
|
Machine Translation (HP)
|
100% |
10264
176.8 IPS |
|
|
Machine Translation (Q)
|
98% |
11749
203.0 IPS |
