iPhone 16e iPhone17,5
Geekbench AI Score
3584
Single Precision Score
3880
Half Precision Score
3563
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| User | idanbo |
| Upload Date | March 08 2025 01:07 AM |
| Views | 11 |
| Notes | iPhone 16e/8GB/512GB |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| 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% |
932
173.4 IPS |
|
|
Image Classification (HP)
|
100% |
832
154.7 IPS |
|
|
Image Classification (Q)
|
97% |
1073
200.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
2564
41.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
2986
48.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
2921
47.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
11124
13.0 IPS |
|
|
Pose Estimation (HP)
|
100% |
11490
13.4 IPS |
|
|
Pose Estimation (Q)
|
95% |
9123
10.7 IPS |
|
|
Object Detection (SP)
|
100% |
2020
160.2 IPS |
|
|
Object Detection (HP)
|
100% |
1508
119.6 IPS |
|
|
Object Detection (Q)
|
91% |
1482
118.4 IPS |
|
|
Face Detection (SP)
|
100% |
6450
76.6 IPS |
|
|
Face Detection (HP)
|
100% |
7359
87.4 IPS |
|
|
Face Detection (Q)
|
100% |
5111
60.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
7018
54.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
8344
64.3 IPS |
|
|
Depth Estimation (Q)
|
85% |
7004
54.7 IPS |
|
|
Style Transfer (SP)
|
100% |
20596
26.5 IPS |
|
|
Style Transfer (HP)
|
100% |
22692
29.2 IPS |
|
|
Style Transfer (Q)
|
96% |
21120
27.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4833
178.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4885
180.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3896
143.9 IPS |
|
|
Text Classification (SP)
|
100% |
3442
4.59 KIPS |
|
|
Text Classification (HP)
|
100% |
6084
8.12 KIPS |
|
|
Text Classification (Q)
|
93% |
6144
8.25 KIPS |
|
|
Machine Translation (SP)
|
100% |
420
7.23 IPS |
|
|
Machine Translation (HP)
|
100% |
434
7.48 IPS |
|
|
Machine Translation (Q)
|
98% |
430
7.44 IPS |
