iPhone 16e iPhone17,5
Geekbench AI Score
3652
Single Precision Score
31280
Half Precision Score
42629
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| User | idanbo |
| Upload Date | March 08 2025 01:09 AM |
| Views | 15 |
| Notes | iPhone 16e/8GB/512GB |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| 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% |
1839
342.1 IPS |
|
|
Image Classification (HP)
|
100% |
15662
2.91 KIPS |
|
|
Image Classification (Q)
|
97% |
22059
4.12 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1681
27.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
18199
295.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
23989
388.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
7039
8.21 IPS |
|
|
Pose Estimation (HP)
|
100% |
139520
162.8 IPS |
|
|
Pose Estimation (Q)
|
95% |
275389
322.8 IPS |
|
|
Object Detection (SP)
|
100% |
1788
141.8 IPS |
|
|
Object Detection (HP)
|
100% |
15758
1.25 KIPS |
|
|
Object Detection (Q)
|
91% |
20230
1.62 KIPS |
|
|
Face Detection (SP)
|
100% |
2920
34.7 IPS |
|
|
Face Detection (HP)
|
100% |
30612
363.7 IPS |
|
|
Face Detection (Q)
|
100% |
55825
663.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
6683
51.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
95840
738.4 IPS |
|
|
Depth Estimation (Q)
|
85% |
127362
995.8 IPS |
|
|
Style Transfer (SP)
|
100% |
19608
25.2 IPS |
|
|
Style Transfer (HP)
|
100% |
204128
262.4 IPS |
|
|
Style Transfer (Q)
|
96% |
276119
356.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4782
176.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
49380
1.82 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
86794
3.20 KIPS |
|
|
Text Classification (SP)
|
100% |
3511
4.69 KIPS |
|
|
Text Classification (HP)
|
100% |
5045
6.73 KIPS |
|
|
Text Classification (Q)
|
93% |
3783
5.08 KIPS |
|
|
Machine Translation (SP)
|
100% |
1691
29.1 IPS |
|
|
Machine Translation (HP)
|
100% |
9594
165.3 IPS |
|
|
Machine Translation (Q)
|
98% |
10430
180.2 IPS |
